Accelerator systems and methods for matrix operations

ABSTRACT

The present disclosure is directed to systems and methods for performing one or more operations on a two dimensional tile register using an accelerator that includes a tiled matrix multiplication unit (TMU). The processor circuitry includes reservation station (RS) circuitry to communicatively couple the processor circuitry to the TMU. The RS circuitry coordinates the operations performed by the TMU. TMU dispatch queue (TDQ) circuitry in the TMU maintains the operations received from the RS circuitry in the order that the operations are received from the RS circuitry. Since the duration of each operation is not known prior to execution by the TMU, the RS circuitry maintains shadow dispatch queue (RS-TDQ) circuitry that mirrors the operations in the TDQ circuitry. Communication between the RS circuitry 134 and the TMU provides the RS circuitry with notification of successfully executed operations and allows the RS circuitry to cancel operations where the operations are associated with branch mispredictions and/or non-retired speculatively executed instructions.

TECHNICAL FIELD

The present disclosure relates to accelerator circuitry, specifically to accelerator circuitry used in conjunction with processor core circuitry having out-of-order execution capabilities.

BACKGROUND

Accelerators improve system performance by offloading repetitive or time-consuming tasks from other system hardware, such as the processor circuitry in a central processing unit (CPU). Typically, processor circuitry will either transfer of cause a transfer of input data to an accelerator circuit, the accelerator circuit will perform one or more operations, such as matrix multiplication or convolution operations, using the input data to generate output data that is either communicated to the processor circuitry or stored in memory circuitry. Modern CPUs frequently include processor circuitry and instruction sets that perform speculative execution of instructions and/or instruction branch prediction to improve system speed, efficiency and responsiveness. Accelerator circuitry must be able to accommodate processor circuitry speed and efficiency enhancements such as speculative execution of instructions, out-of-order (OOO) instruction execution, and instruction branch prediction.

BRIEF DESCRIPTION OF THE DRAWINGS

Features and advantages of various embodiments of the claimed subject matter will become apparent as the following Detailed Description proceeds, and upon reference to the Drawings, wherein like numerals designate like parts, and in which:

FIG. 1 is a block diagram of an illustrative system that includes a tiled matrix multiplication unit (TMU) communicatively coupled to processor circuitry, in accordance with at least one embodiment described herein;

FIG. 2 is a block diagram of a system depicting the flow of commands and/or data between the TMU and the processor circuitry, in accordance with at least one embodiment described herein;

FIG. 3 is a schematic diagram of an illustrative electronic, processor-based, device that includes a TMU and processor circuitry, in accordance with at least one embodiment described herein;

FIG. 4 is a high-level flow diagram of an illustrative method of performing one or more operations on a two-dimensional tile register using an accelerator that includes a TMU, in accordance with at least one embodiment described herein;

FIGS. 5A and 5B are block diagrams illustrating a generic vector friendly instruction format and instruction templates thereof according to embodiments of the invention;

FIGS. 6A, 6B, 6C and 6D are block diagrams illustrating an exemplary specific vector friendly instruction format according to embodiments of the invention;

FIG. 7 is a block diagram of a register architecture according to one embodiment of the invention;

FIG. 8A is a block diagram illustrating both an exemplary in-order pipeline and an exemplary register renaming, out-of-order issue/execution pipeline according to embodiments of the invention.

FIG. 8B is a block diagram illustrating both an exemplary embodiment of an in-order architecture core and an exemplary register renaming, out-of-order issue/execution architecture core to be included in a processor according to embodiments of the invention;

FIGS. 9A and 9B illustrate a block diagrams of a more specific exemplary in-order core architecture, which core would be one of several logic blocks (including other cores of the same type and/or different types) in a chip;

FIG. 10 is a block diagram of a processor that may have more than one core, may have an integrated memory controller, and may have integrated graphics according to embodiments of the invention;

FIGS. 11, 12, 13, and 14 are block diagrams of exemplary computer architectures; and

FIG. 15 is a block diagram contrasting the use of a software instruction converter to convert binary instructions in a source instruction set to binary instructions in a target instruction set according to embodiments of the invention.

DETAILED DESCRIPTION

A tile register includes a set of two-dimensional registers, each having a plurality of rows and a plurality of columns that represent a packed region of memory. A tile register multiplication (TMUL) instruction set provides an instruction set architecture (ISA) that improves machine learning (ML) performance. The TMUL ISA is used in performing matrix multiplication of tile registers. The systems and methods disclosed herein include a TMU having self-contained accelerator circuitry that is communicatively coupled to processor circuitry, such as OOO core circuitry. The TMU includes TMU buffer (TMB) circuitry to accommodate the transfer of tiles into and out of the TMU while simultaneously performing the matrix multiplication operations—all without assistance from the OOO core/processor core circuitry (hereinafter “processor circuitry”). The TMU includes tiled matrix multiplication (TMM) circuitry containing the MAC computation grid. The TMU includes TMU control circuitry (TMC) to communicate between the processor circuitry, the TMM circuitry, and the TMB circuitry thereby improving the overall efficiency of the TMU while further offloading processor circuitry.

The systems and methods disclosed herein provide an autonomous TMU communicatively coupled to the processor circuitry and capable of transmitting and receiving tiled data from the processor circuitry. The processor circuitry and the TMU monitor the execution and completion of matrix operations performed by the TMM circuitry.

The systems and methods disclosed herein beneficially provide a continuous stream of matrix multiplication operations while allowing direct access to the tiles register on completion of the operation.

The systems and methods disclosed herein beneficially dispatch tiled matrix multiplication operations for execution, resolve dependencies, and allow direct processor circuitry access to the tiles once the multiplication operation completes.

The systems and methods disclosed herein provide a TMU that includes TMC (TMU control) circuitry; TMB (TMU buffer) circuitry; TMU dispatch queue (TDQ) circuitry; and TMM (matrix multiplication) circuitry. Processor circuitry communicably coupled to the TMU includes reorder buffer (ROB) circuitry; reservation station (RS) circuitry; and TMU shadow queue (RS-TDQ) circuitry. In operation, the RS circuitry dispatches matrix multiplication operations to the TDQ circuitry in the TMU, each of the operations occupies one entry within the TDQ circuitry. The matrix multiplication operations remain in the TDQ circuitry until the TMC circuitry generates a writeback (WB) indication and schedules the execution of the matrix multiplication operation by the TMM circuitry. When a matrix multiplication operation is available, the TMC circuitry dispatches the matrix multiplication operation to the TMM circuitry and generates a TDQ dispatch notification that is communicated to the RS circuitry.

Within the processor circuitry, the RS circuitry issues a completion indication to the ROB circuitry. The ROB circuitry commits the matrix multiplication operation and permits the reclamation of the of the renamed copy of the tile register. Where a dependent matrix multiplication operation occurs, the RS circuitry dispatches the dependent matrix multiplication operation from the processor circuitry to the TMU either when the operation was written to the TDQ circuitry or based on the dispatch of the matrix multiplication operation to the TMM circuitry. On completion of the matrix multiplication operation, the RS circuitry dispatches a dependent tile READ into memory operation.

To maintain a consistent architectural state, the RS circuitry clears bogus entries from the TDQ circuitry and the RS-TDQ circuitry in response to a branch misprediction or nuke. The RS-TDQ circuitry generates the request to cancel such operations from the TDQ circuitry and communicates the request to the TMC circuitry. The TMC circuitry responds to the RS circuitry using a writeback request on each canceled matrix multiplication operation. In such instances, the RS circuitry does not communicate the writeback to the ROB circuitry and the matrix multiplication operation is dropped.

Core circuitry is provided. The core circuitry includes: processor circuitry; re-order buffer (ROB) circuitry coupled to the processor circuitry; and reservation station (RS) circuitry that includes matrix multiplication unit dispatch shadow queue (RS-TDQ) circuitry, the RS circuitry to: dispatch at least one first matrix operation to TDQ circuitry disposed in a matrix multiplication unit (TMU) communicatively coupled to the RS circuitry; dispatch the at least one first matrix operation to the RS-TDQ circuitry; receive a dispatch indication from the TMU upon execution of the at least one first matrix operation by the TMU; communicate, to the ROB circuitry, a signal that includes information indicative of a completion of the at least one first matrix operation by the TMU; cause the ROB circuitry to commit the at least one first matrix operation; and cause a transfer of data from the at least one first matrix operation from TMU buffer (TMB) circuitry to memory circuitry.

A method of performing one or more tiled register matrix multiplication operations is provided. The method may include: dispatching, by reservation station (RS) circuitry, at least one first matrix operation to TDQ circuitry disposed in a matrix multiplication unit (TMU) communicatively coupled to the RS circuitry; dispatching, by the RS circuitry, the at least one first matrix operation to the RS-TDQ circuitry; communicating, by the RS circuitry, to reorder buffer (ROB) circuitry, a signal that includes information indicative of a completion of the at least one first matrix operation by the TMU; causing, by the RS circuitry, the ROB circuitry to commit the at least one first matrix operation; and causing, by the RS circuitry, a transfer of data from the at least one first matrix operation from TMU buffer (TMB) circuitry to memory circuitry.

A system for performing one or more tiled register matrix multiplication operations is provided. The system may include: means for dispatching at least one first matrix operation to TDQ circuitry disposed in a matrix multiplication unit (TMU); means for dispatching the at least one first matrix operation to RS-TDQ circuitry; means for communicating to reorder buffer (ROB) circuitry, a signal that includes information indicative of a completion of the at least one first matrix operation by the TMU; means for causing the ROB circuitry to commit the at least one first matrix operation; and means for causing a transfer of data from the at least one first matrix operation from TMU buffer (TMB) circuitry to memory circuitry.

A non-transitory storage device is provided. The non-transitory storage device may include instructions that, when executed by reservation station (RS) circuitry, cause the RS circuitry to: dispatch at least one first matrix operation to TDQ circuitry disposed in a matrix multiplication unit (TMU) communicatively coupled to the RS circuitry; dispatch the at least one first matrix operation to the RS-TDQ circuitry; communicate to reorder buffer (ROB) circuitry, a signal that includes information indicative of a completion of the at least one first matrix operation by the TMU; cause the ROB circuitry to commit the at least one first matrix operation; and cause a transfer of data from the at least one first matrix operation from TMU buffer (TMB) circuitry to memory circuitry.

A TMU is provided. The TMU may include: TMU data storage buffer (TMB) circuitry; TMU operation queue (TMQ) circuitry; TMU matrix multiplication (TMM) circuitry; TMU control (TMC) circuitry coupled to the TMB circuitry, the TMQ circuitry, and the TMM circuitry, the TMC circuitry to: cause the TMB circuitry to store at least one tile register in the TMB circuitry, the at least one tile register received from reservation station (RS) circuitry communicatively coupled to a core circuit, wherein each of the at least one tile registers includes a respective two-dimensional data array; cause the TMQ circuitry to store at least one first matrix multiplication operation using the at least one tile register; cause the TMM circuitry to execute the at least one first matrix multiplication operation on the one or more tile registers to generate at least one first output tile register; cause the TMB circuitry to store the at least one first output tile register; and cause a transfer of the at least one first output tile register to memory circuitry external to the TMU responsive to a receipt of a request by the RS circuitry.

A non-transitory storage device is provided. The non-transitory storage device may include instructions that, when executed by TMU control (TMC) circuitry, cause the TMC circuitry to: cause the TMB circuitry to store at least one tile register in the TMB circuitry, the at least one tile register received from reservation station (RS) circuitry communicatively coupled to a core circuit, wherein each of the at least one tile registers includes a respective two-dimensional data array; cause the TMQ circuitry to store at least one first matrix multiplication operation using the at least one tile register; cause the TMM circuitry to execute the at least one first matrix multiplication operation on the one or more tile registers to generate at least one first output tile register; cause the TMB circuitry to store the at least one first output tile register; and cause a transfer of the at least one first output tile register to memory circuitry external to the TMU responsive to a receipt of a request by the RS circuitry.

FIG. 1 is a block diagram of an illustrative system 100 that includes a TMU 110 communicatively coupled to processor circuitry 130, in accordance with at least one embodiment described herein. As depicted in FIG. 1, the TMU 110 includes TMU control (TMC) circuitry 112, TMU dispatch queue (TDQ) circuity 114, TMU buffer (TMB) circuitry 116, and tile matrix multiplication (TMM) circuitry 118. As depicted in FIG. 1, the processor circuitry 130 may include processor core circuitry 132, re-order buffer (ROB) circuitry 134, reservation station (RS) circuitry 136, and RS shadow TDQ (RS-TDQ) circuitry 136. A high bandwidth interconnect 140 communicatively couples or links the TMU 110 to the processor circuitry 130.

The TMU 110 autonomously performs matrix multiplication operations using input data, such as two-dimensional (2D) tile registers transferred to the TMU 110 from system memory circuitry and/or processor cache memory circuitry to the TMB circuitry 116. The TMU 110 receives input data and instructions to perform various matrix operations using the received input data to generate output data. In embodiments, the TMB circuitry 116 includes a physical register file (PRF) that stores, contains, or otherwise retains either or both the received input data and the generated output data. The tiles used by the TMM circuitry 118 may be transferred from external memory circuitry (system memory circuitry, processor cache memory circuitry, etc.) and the tile generated by the TMM circuitry 118 may be stored in the TMB circuitry 116 prior to transfer to the processor circuitry 130 and/or other external memory circuitry. In embodiments, where the TMU 110 performs multiple dependent tiled matrix operations, the TMB circuitry 116 may store or otherwise retain the intermediate tiled matrices generated by the TMM circuitry 118. The processor circuitry 130 converts the tiled matrix multiplication (TMUL) instruction into a plurality of operations that include but are not limited to: transfer the input data to the TMB circuitry 116 and the transfer of tiled matrix multiplication operations to the TDQ circuitry 114, including managing the destination in all its forms from allocation, renaming, and reclamation. The TMC circuitry 112 manages the communication between the processor circuitry 130, The TDQ circuitry 114, the TMB circuitry 116, and the TMM circuitry 118.

While the TDQ circuitry 114 stores or otherwise retains the TMUL operations received from the processor circuitry 130, the RS circuitry 134 includes TMU shadow queue (RS-TDQ) circuitry 136. The RS-TDQ circuitry 136 controls the TMUL operations and the associated tile registers. The TMU 110 includes three interface circuits. The first interface circuit provides access to the TMB circuitry 116 for tiles loaded from memory circuitry. The second interface circuit provides access to the processor circuitry 130 to store tile data read from the TMB circuitry 116. The third interface circuit provides access to the TDQ circuitry 114 to receive TMUL operations from the processor circuitry 130.

The processor circuitry 130 causes memory load/transfer operations that cause the transfer of tiled input data from system or processor memory circuitry to the TMB circuitry 116. The RS circuitry 134 maintains the dependency of the loaded tiled input data transferred to the TMB circuitry 116. Upon completion of the tiled input data load to the TMB circuitry 116 (for a non-dependent TMUL operation) and/or the completion of a prior TMUL operation (for a dependent TMUL operation), the RS circuitry 134 causes the transfer of the tiled input data to the TMM circuitry 118. The RS circuitry 134 dispatches the TMUL operation to the TDQ circuitry 114 and maintains a shadow copy of the TMUL operation in the RS-TDQ circuitry 136. The RS circuitry 134 tracks the progress of the TMUL operation to determine when a new TMUL may be dispatched to the TMU 110 and the output data generated by the TMM circuitry 118 transferred from the TMB circuitry 116.

In embodiments, the RS circuitry 134 handles each TMUL operation as a long latency operation. The RS circuitry 134 determines wakeup timing as a function of the dimensions of the tiled input data provided to the TMU 110. However, the RS circuitry 134 cannot predict either or both the completion of the TMUL operation and/or the timing of when the TMUL operation will be ready for dispatch by the TMU 110.

The TMC circuitry 112 controls the performance of the TMUL operation by the TMM circuitry 118. In embodiments, the TMC circuitry 112 performs tiled register source bypass control, tile register READ/WRITE operations to/from the TMB circuitry 116, scheduling operations, resolving dependencies on late accumulation, etc. The TMU 110 and the processor circuitry 130 co-manage the physical register files of the TMB circuitry 116. The TMC circuitry 112 advantageously improves the efficiency of the TMU 110 by managing the communication between the TMU 110 and the processor circuitry 130. In embodiments, the TMC circuitry 112 receives one or more operations dispatched by the RS circuitry 134 and stores the one or more operations in the TDQ circuitry 114. The RS circuitry 134 stores a copy (or shadow) of the one or more operations in the RS-TDQ circuitry 136. The RS circuitry 134 uses the information stored in the RS-TDQ circuitry 136 to track the completion of the one or more operations dispatched to the TMU 110 by the RS circuitry 134. In embodiments, the TDQ circuitry 114 functions as a first in/first out (FIFO) data storage circuit, consequently the TDQ circuitry 114 causes the execution of the operations transferred by the RS circuitry 134 in the order which the operations were received by the TDQ circuitry 114. The operations stored in the TDQ circuitry 114 are executed in the order of receipt from the RS circuitry 134. The TDQ circuitry 114 tracks the head and tail pointers. Upon dispatch by the RS circuitry 134, the TMC circuitry 112 generates an identifier associated with the respective operation by binding the operation to a respective entry stored in the TDQ circuitry 114. Each communication between the TMC circuitry 112 and the RS circuitry 134 involving a operation includes the identifier associated with the respective operation. Including the identifier allows the proper wakeup, writeback request, and release of the entry by the RS circuitry 134. Each operation is able to begin and conclude as TMU resources become available, allowing simultaneous execution of several operations, beneficially improving the efficiency of the TMU 110.

The RS circuitry 134 resolves any dependencies within the TMUL operations. In some embodiments, the RS circuitry 134 manages a wakeup indication to the TMU 110 that permits the dispatch of two dependent operations such that the operations are aligned within the TMU by the TMC circuitry 112. The TMC circuitry 112 communicates a notification message to the RS circuitry 134 upon dispatch of a TMUL operation from the TDQ circuitry 114 to the TMM circuitry 118. In other embodiments, upon receipt of such a notification, the RS circuitry 134 may dispatch dependent TMUL operations.

The TMU 110 includes the TMC circuitry 112, the TDQ circuitry 114, the TMB circuitry 116, and the TMM circuitry 118. In embodiments, the TMU may be formed or otherwise disposed on a semiconductor chiplet that is, in turn, integrated into a semiconductor package, such as a multi-chip module, that contains the processor circuitry 130. In other embodiments, the TMU 110 may be formed or otherwise disposed on a portion of a semiconductor die, such as a system-on-chip (SoC) that includes the processor circuitry 130. In embodiments, the TMU 110 directly or indirectly communicates with system memory circuitry via one or more high bandwidth connections or communications links, such a connection enables, for example, the exchange of input data and output data between the TMU 110 and system memory without further burdening the processor memory management unit (MMU) circuitry.

The TMC circuitry 112 includes any number and/or combination of any currently available and/or future developed electronic components, semiconductor devices, and/or logic elements capable of bidirectional communication between the processor circuitry 130, the TDQ circuitry 114, the TMB circuitry 116, and the TMM circuitry 118. The TMC circuitry 112 receives operations from the RS circuitry 134 and loads the received operations into the TDQ circuitry 114. In embodiments, the TMC circuitry 112 loads the received operations into the TDQ circuity in the order that the operations are dispatched by the RS circuitry 134. The TMC circuitry 112 handles one or more operations associated with the matrix multiplication performed by the TMM circuitry 118. These operations include but are not limited to: tile register source bypass control, tile register READ from and WRITE to the TMB circuitry 116, scheduling operations in the TMM circuitry 118, and resolving dependencies on late accumulation.

The TDQ circuitry 114 includes any number and/or combination of any currently available and/or future developed electronic components, semiconductor devices, and/or logic elements capable of storing operations received from the TMC circuitry 112, causing the execution of the operations by the TMM circuitry 118, and tracking the head and tail pointers as the operations are executed by the TMM circuitry 118. In embodiments, the TDQ circuitry 114 causes execution of the received operations on a FIFO basis. In embodiments, the TDQ circuitry 114 dispatches operations to the TMM circuitry 118 in response to receipt of a dispatch command generated by the TMC circuitry 112.

The TMB circuitry 116 includes any number and/or combination of any currently available and/or future developed electronic components, semiconductor devices, and/or logic elements capable of receiving and storing or otherwise retaining input data transferred to the TMU 110 and receiving and storing or otherwise retaining output data generated by the TMM circuitry 118 prior to transferring the output data to system memory circuitry and/or processor cache memory circuitry. In embodiments, the RS circuitry 134 reads output data from the TMB circuitry 116 at the conclusion of a TMUL operation and/or the completion of a tile load operation.

The TMM circuitry 118 includes any number and/or combination of any currently available and/or future developed electronic components, semiconductor devices, and/or logic elements capable of performing operations and/or mathematical functions on input data transferred from the TMB circuitry 116 to produce output data for transfer back to the TMB circuitry 116. In embodiments, the input data transferred from the TMB circuitry 116 to the TMM circuitry 118 includes one or more two-dimensional tile registers. In embodiments, the output data transferred from the TMM circuitry 118 to the TMB circuitry 116 includes one or more two-dimensional tile registers. In embodiments, the TMM circuitry 118 may include one or more MAC computation grids.

The processor circuitry 130 includes any number and/or combination of any currently available and/or future developed electronic components, semiconductor devices, and/or logic elements capable of executing machine readable instruction sets. In embodiments, the processor circuitry 110 may provide all or a portion of the ROB circuitry 132, all or a portion of the RS circuitry 134 and/or all or a portion of the RS-TDQ circuitry 136. In embodiments, the processor circuitry 110 may include any number of single- or multi-thread processor core circuits. In embodiments, the processor circuitry 110 may include a system-on-chip (SoC) or multi-chip module (MCM) architecture. In embodiments, the processor circuitry 110 may include but is not limited to, any number and/or combination of: controllers, digital signal processors, microcontrollers, microprocessors, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), reduced instruction set computers (RISCs), and similar.

The ROB circuitry 132 includes any number and/or combination of any currently available and/or future developed electronic components, semiconductor devices, and/or logic elements capable of storing the original sequence or order of execution of instructions such that instructions executed out of order are executed, by the processor circuitry, in the original order. The ROB circuitry 132 is disposed at least partially within the processor circuitry 130. In embodiments, the processor circuitry 130 may provide at least a portion of the ROB circuitry 132. In embodiments, the ROB circuitry 132 may include a circular buffer circuit in which instructions are added to a first end of the buffer circuit when dispatched and removed from an opposite end of the buffer circuit when completed.

The RS circuitry 134 includes any number and/or combination of any currently available and/or future developed electronic components, semiconductor devices, and/or logic elements capable of directly or indirectly causing the transfer of operations, instructions, and/or data from the processor circuitry 130 and/or memory circuitry to the TMU 110. The RS circuitry 134 is disposed at least partially within the processor circuitry 130. In embodiments, the processor circuitry 130 may provide at least a portion of the RS circuitry 134.

In embodiments, the RS circuitry 134 includes RS-TDQ circuitry 136. In embodiments, as the RS circuitry 134 communicates instructions to the TDQ circuitry 114, the RS circuitry 134 stores or otherwise retains a shadow copy of each instruction in the RS-TDQ circuitry 136. Thus, the contents of the RS-TDQ circuitry 136 mirror the contents of the TDQ circuitry 114 in the TMU 110. The RS circuitry 134 monitors the progress of the operations performed by the TMM circuitry 118 via the TMC circuitry 112. Based on the progress of the operations in the TMU 110, the RS circuitry 134 may dispatch dependent operations to the TDQ circuitry 114 and/or additional/new operations to the TDQ circuitry 114. The RS circuitry 134 and the TMC circuitry 112 exchange bidirectional notifications. Thus, for example, if an operation previously communicated to the TMU 110 is later determined to be erroneously communicated (e.g., a mis-predicted branch or an incorrect speculative execution), the RS circuitry 134 can cause the TMC circuitry 112 to remove the operation (and any dependent operations) from the TDQ circuitry 114.

The interconnect 140 facilitates bidirectional communication between the TMU 110 and the processor circuitry 130. In embodiments, the interconnect 140 may include a plurality of communication channels or paths. In embodiments, the interconnect 140 may include a high-bandwidth connection communicatively coupling the TMU 110 with the processor circuitry 130.

FIG. 2 is a block diagram of a system 200 depicting the flow of commands and/or data between the TMU 110 and the processor circuitry 130, in accordance with at least one embodiment described herein. As depicted in FIG. 2, the RS circuitry 134 dispatches 220 an operation (e.g., a TMUL operation) that is stored or otherwise occupies one entry in the TDQ circuitry 114. in the order received from the RS circuitry 134. Simultaneously, the RS circuitry 134 dispatches 222 a shadow copy of the operation to the RS-TDQ circuitry 136. The RS circuitry 134 uses the RS-TDQ circuitry 136 to track and/or monitor the operations communicated to the TDQ circuitry 114.

Responsive to receipt of a writeback 240, the TMC circuitry 112 schedules the execution of the operation by the TMM circuitry 180. Upon availability of a TMUL operation, the TMC circuitry 112 dispatches the operation to the TMM circuitry 118 and issues a dispatch indication to the RS circuitry 134. The RS circuitry 134 issues a completion indication 224 to the ROB circuitry 136. The ROB circuitry 136 commits the operation and reclaims the output tile register from the TMB circuitry 116. In embodiments, the output tile register may be transferred and stored in memory circuitry 250, such as system memory circuitry or processor cache circuitry. The RS circuitry 134 may dispatch dependent operations, either when written to the TDQ circuitry 114 or based on the dispatch of the operation to the TMM circuitry 118. Upon completion, the RS circuitry 134 may dispatch a dependent tile register read to system memory 250 operation.

To maintain architectural state consistency, the RS circuitry 134 clears cancelled operations (e.g., operations generated by branch mispredictions or incorrect speculatively executed instructions) from the TDQ circuitry 114 and the RS-TDQ circuitry 136. The RS circuitry 134 generates the request to cancel operations and communicates 230 the request to the TMC circuitry 112. The request includes one or more unique identifiers associated with each of the cancelled operations. In embodiments, the TMC circuitry 112 responds to the RS circuitry 134 with writeback requests on each of the cancelled operations. In such instances, the RS circuitry 134 will not communicate a writeback indicative of successful completion of the operation to the ROB circuitry 132, thereby resulting in the ROB circuitry 132 dropping the operation.

FIG. 3 is a schematic diagram of an illustrative electronic, processor-based, device 300 that includes a TMU 110 and processor circuitry 130, in accordance with at least one embodiment described herein. The processor-based device 300 may additionally include graphical processing unit (GPU) circuitry 312. The processor-based device 300 may additionally include one or more of the following: a wireless input/output (I/O) interface 320, a wired I/O interface 330, system memory circuitry 340, power management circuitry 350, a non-transitory storage device 360, and a network interface 370 used to communicatively couple the processor-based device 300 to one or more external devices (e.g., a cloud-based server) 390 via one or more networks 380. The following discussion provides a brief, general description of the components forming the illustrative processor-based device 300. Example, non-limiting processor-based devices 300 may include, but are not limited to: autonomous motor vehicles, semi-autonomous motor vehicles, manually controlled motor vehicles, smartphones, wearable computers, portable computing devices, handheld computing devices, desktop computing devices, blade server devices, workstations, and similar.

Those skilled in the relevant art will appreciate that the illustrated embodiments as well as other embodiments may be practiced with other processor-based device configurations, including portable electronic or handheld electronic devices, for instance smartphones, portable computers, wearable computers, consumer electronics, personal computers (“PCs”), network PCs, minicomputers, server blades, mainframe computers, and the like. The processor circuitry 130 may include any number of hardwired or configurable circuits, some or all of which may include programmable and/or configurable combinations of electronic components, semiconductor devices, and/or logic elements that are disposed partially or wholly in a PC, server, or other computing system capable of executing machine-readable instructions. In embodiments, the processor circuitry 130 may include ROB circuitry 132, RS circuitry 134, and RS-TDQ circuitry 136.

The processor-based device 300 includes a bus or similar communications link 316 that communicably couples and facilitates the exchange of information and/or data between various system components including the processor circuitry 130, the graphics processor circuitry 312, one or more wireless I/O interfaces 320, one or more wired I/O interfaces 330, the system memory 340, one or more storage devices 360, and/or the network interface circuitry 370. The processor-based device 300 may be referred to in the singular herein, but this is not intended to limit the embodiments to a single processor-based device 300, since in certain embodiments, there may be more than one processor-based device 300 that incorporates, includes, or contains any number of communicably coupled, collocated, or remote networked circuits or devices.

The processor circuitry 130 may include any number, type, or combination of currently available or future developed devices capable of executing machine-readable instruction sets. The processor circuitry 130 may include but is not limited to any current or future developed single- or multi-core processor or microprocessor, such as: on or more systems on a chip (SOCs); central processing units (CPUs); digital signal processors (DSPs); graphics processing units (GPUs); application-specific integrated circuits (ASICs), programmable logic units, field programmable gate arrays (FPGAs), and the like. Unless described otherwise, the construction and operation of the various blocks shown in FIG. 3 are of conventional design. Consequently, such blocks need not be described in further detail herein, as they will be understood by those skilled in the relevant art. The bus 316 that interconnects at least some of the components of the processor-based device 300 may employ any currently available or future developed serial or parallel bus structures or architectures.

The system memory 340 may include read-only memory (“ROM”) 342 and random access memory (“RAM”) 346. A portion of the ROM 342 may be used to store or otherwise retain a basic input/output system (“BIOS”) 344. The BIOS 344 provides basic functionality to the processor-based device 300, for example by causing the processor circuitry 130 to load and/or execute one or more machine-readable instruction sets 314. In embodiments, at least some of the one or more machine-readable instruction sets 314 cause at least a portion of the processor circuitry 130 to provide, create, produce, transition, and/or function as a dedicated, specific, and particular machine.

The processor-based device 300 may include at least one wireless input/output (I/O) interface 320. The at least one wireless I/O interface 320 may be communicably coupled to one or more physical output devices 322 (tactile devices, video displays, audio output devices, hardcopy output devices, etc.). The at least one wireless I/O interface 320 may communicably couple to one or more physical input devices 324 (pointing devices, touchscreens, keyboards, tactile devices, etc.). The at least one wireless I/O interface 320 may include any currently available or future developed wireless I/O interface. Example wireless I/O interfaces include, but are not limited to: BLUETOOTH®, near field communication (NFC), and similar.

The processor-based device 300 may include one or more wired input/output (I/O) interfaces 330. The at least one wired I/O interface 330 may be communicably coupled to one or more physical output devices 322 (tactile devices, video displays, audio output devices, hardcopy output devices, etc.). The at least one wired I/O interface 330 may be communicably coupled to one or more physical input devices 324 (pointing devices, touchscreens, keyboards, tactile devices, etc.). The wired I/O interface 330 may include any currently available or future developed I/O interface. Example wired I/O interfaces include but are not limited to: universal serial bus (USB), IEEE 1394 (“FireWire”), and similar.

The processor-based device 300 may include one or more communicably coupled, non-transitory, data storage devices 360. The data storage devices 360 may include one or more hard disk drives (HDDs) and/or one or more solid-state storage devices (SSDs). The one or more data storage devices 360 may include any current or future developed storage appliances, network storage devices, and/or systems. Non-limiting examples of such data storage devices 360 may include, but are not limited to, any current or future developed non-transitory storage appliances or devices, such as one or more magnetic storage devices, one or more optical storage devices, one or more electro-resistive storage devices, one or more molecular storage devices, one or more quantum storage devices, or various combinations thereof. In some implementations, the one or more data storage devices 360 may include one or more removable storage devices, such as one or more flash drives, flash memories, flash storage units, or similar appliances or devices capable of communicable coupling to and decoupling from the processor-based device 300.

The one or more data storage devices 360 may include interfaces or controllers (not shown) communicatively coupling the respective storage device or system to the bus 316. The one or more data storage devices 360 may store, retain, or otherwise contain machine-readable instruction sets, data structures, program modules, data stores, databases, logical structures, and/or other data useful to the processor circuitry 130 and/or graphics processor circuitry 312 and/or one or more applications executed on or by the processor circuitry 310 and/or graphics processor circuitry 312. In some instances, one or more data storage devices 360 may be communicably coupled to the processor circuitry 130, for example via the bus 316 or via one or more wired communications interfaces 330 (e.g., Universal Serial Bus or USB); one or more wireless communications interfaces 320 (e.g., Bluetooth®, Near Field Communication or NFC); and/or one or more network interfaces 370 (IEEE 802.3 or Ethernet, IEEE 802.11, or WiFi®, etc.).

Machine-readable instruction sets 314 and other programs, applications, logic sets, and/or modules may be stored in whole or in part in the system memory 340. Such instruction sets 314 may be transferred, in whole or in part, from the one or more data storage devices 360. The instruction sets 314 may be loaded, stored, or otherwise retained in system memory 340, in whole or in part, during execution by the processor circuitry 130 and/or graphics processor circuitry 312.

The processor-based device 300 may include power management circuitry 350 that controls one or more operational aspects of the energy storage device 352. In embodiments, the energy storage device 352 may include one or more primary (i.e., non-rechargeable) or secondary (i.e., rechargeable) batteries or similar energy storage devices. In embodiments, the energy storage device 352 may include one or more supercapacitors or ultracapacitors. In embodiments, the power management circuitry 350 may alter, adjust, or control the flow of energy from an external power source 354 to the energy storage device 352 and/or to the processor-based device 300. The power source 354 may include, but is not limited to, a solar power system, a commercial electric grid, a portable generator, an external energy storage device, or any combination thereof.

For convenience, the processor circuitry 130, the GPU circuitry 312, the wireless I/O interface 320, the wired I/O interface 330, the system memory circuitry 340, the power management circuitry 350, the storage device 360, and the network interface 370 are illustrated as communicatively coupled to each other via the bus 316, thereby providing connectivity between the above-described components. In alternative embodiments, the above-described components may be communicatively coupled in a different manner than illustrated in FIG. 3. For example, one or more of the above-described components may be directly coupled to other components, or may be coupled to each other, via one or more intermediary components (not shown). In another example, one or more of the above-described components may be integrated into the processor circuitry 130 and/or the graphics processor circuitry 312. In some embodiments, all or a portion of the bus 316 may be omitted and the components are coupled directly to each other using suitable wired or wireless connections.

FIG. 4 is a high-level flow diagram of an illustrative method 400 of performing one or more operations on a two dimensional tile register using an accelerator that includes a tiled matrix multiplication unit (TMU) 110, in accordance with at least one embodiment described herein. The processor circuitry 130 includes reservation station (RS) circuitry 134 to communicatively couple the processor circuitry 130 to the TMU 110. The RS circuitry 134 coordinates the operations performed by the TMU 110. TMU dispatch queue (TDQ) circuitry 114 in the TMU 110 maintains the operations received from the RS circuitry 134 in the order that the operations are received from the RS circuitry 134. Since the duration of each operation is not known prior to execution by the TMU 110, the RS circuitry 134 maintains shadow dispatch queue (RS-TDQ) circuitry 136 that mirrors the operations in the TDQ circuitry 114. Communication between the RS circuitry 134 and the TMU 110 provides the RS circuitry 134 with notification of successfully executed operations and allows the RS circuitry 134 to cancel operations where the operations are associated with branch mispredictions and/or non-retired speculatively executed instructions. The method 400 beneficially improves the performance of the host system by offloading substantially all of the overhead associated with management of the TMU 110 from the processor circuitry 130 to the RS circuitry 134 and/or the TMU control (TMC) circuitry 112 in the TMU. The method 400 commences at 402.

At 404, the RS circuitry 134 dispatches 220 a first matrix operation to the TDQ circuitry 114 in the TMU 110. In embodiments, the RS circuitry 134 may dispatch 220 the first matrix operation to TMC circuitry 112 disposed in the TMU 110. The TMC circuitry 112 may then dispatch the operation to the TDQ circuitry 114 where the operations are stored in the order received from the RS circuitry 134.

At 406, the RS circuitry dispatches 222 the first matrix operation to the RS-TDQ circuitry 136. In embodiments, the RS circuitry 134 dispatches 220 the first matrix operation to the TDQ circuitry 114 simultaneous with the dispatch 222 of the first matrix operation to the RS-TDQ circuitry 136. The matrix operations stored in the RS-TDQ circuitry 136 mirror the matrix operations stored in the TDQ circuitry 114 and allow the RS circuitry 134 to monitor the status of the first matrix operation—beneficially permitting the RS circuitry 134 to receive a writeback indication upon successful completion of the first matrix operation and also allowing the RS circuitry to cancel the first matrix operation in the event of a speculative (e.g., an unretired speculatively executed instruction) or out-of-order execution error (e.g., a mis-predicted branch instruction). At the conclusion of the first matrix operation, the TMM circuitry 118 transfers output data to the TMB circuitry 116.

At 408, the TMC circuitry 112 communicates completion of the first matrix operation to the RS circuitry 134. The RS circuitry 134 communicates completion of the first matrix operation to reorder buffer (ROB) circuitry 132.

At 410, responsive to receipt of the communication indicative of the completion of the first matrix operation, the ROB circuitry 132 commits the first matrix operation.

At 412, the TMC circuitry 112 causes the transfer of the output data from the TMB circuitry 116 to memory circuitry, such as system memory circuitry or processor cache memory circuitry. The method concludes at 414.

The figures below detail exemplary architectures and systems to implement embodiments of the above. In some embodiments, one or more hardware components and/or instructions described above are emulated as detailed below or implemented as software modules.

Embodiments of the instruction(s) detailed above are embodied may be embodied in a “generic vector friendly instruction format” which is detailed below. In other embodiments, such a format is not utilized and another instruction format is used, however, the description below of the writemask registers, various data transformations (swizzle, broadcast, etc.), addressing, etc. is generally applicable to the description of the embodiments of the instruction(s) above. Additionally, exemplary systems, architectures, and pipelines are detailed below. Embodiments of the instruction(s) above may be executed on such systems, architectures, and pipelines, but are not limited to those detailed.

An instruction set may include one or more instruction formats. A given instruction format may define various fields (e.g., number of bits, location of bits) to specify, among other things, the operation to be performed (e.g., opcode) and the operand(s) on which that operation is to be performed and/or other data field(s) (e.g., mask). Some instruction formats are further broken down though the definition of instruction templates (or subformats). For example, the instruction templates of a given instruction format may be defined to have different subsets of the instruction format's fields (the included fields are typically in the same order, but at least some have different bit positions because there are less fields included) and/or defined to have a given field interpreted differently. Thus, each instruction of an ISA is expressed using a given instruction format (and, if defined, in a given one of the instruction templates of that instruction format) and includes fields for specifying the operation and the operands. For example, an exemplary ADD instruction has a specific opcode and an instruction format that includes an opcode field to specify that opcode and operand fields to select operands (source1/destination and source2); and an occurrence of this ADD instruction in an instruction stream will have specific contents in the operand fields that select specific operands. A set of SIMD extensions referred to as the Advanced Vector Extensions (AVX) (AVX1 and AVX2) and using the Vector Extensions (VEX) coding scheme has been released and/or published (e.g., see Intel® 64 and IA-32 Architectures Software Developer's Manual, September 2014; and see Intel® Advanced Vector Extensions Programming Reference, October 2014).

Exemplary Instruction Formats

Embodiments of the instruction(s) described herein may be embodied in different formats. Additionally, exemplary systems, architectures, and pipelines are detailed below. Embodiments of the instruction(s) may be executed on such systems, architectures, and pipelines, but are not limited to those detailed.

Generic Vector Friendly Instruction Format

A vector friendly instruction format is an instruction format that is suited for vector instructions (e.g., there are certain fields specific to vector operations). While embodiments are described in which both vector and scalar operations are supported through the vector friendly instruction format, alternative embodiments use only vector operations the vector friendly instruction format.

FIGS. 5A and 5B are block diagrams illustrating a generic vector friendly instruction format and instruction templates thereof according to embodiments of the invention. FIG. 5A is a block diagram illustrating a generic vector friendly instruction format and class A instruction templates thereof according to embodiments of the invention; while FIG. 5B is a block diagram illustrating the generic vector friendly instruction format and class B instruction templates thereof according to embodiments of the invention. Specifically, a generic vector friendly instruction format 500 for which are defined class A and class B instruction templates, both of which include no memory access 505 instruction templates and memory access 520 instruction templates. The term generic in the context of the vector friendly instruction format refers to the instruction format not being tied to any specific instruction set.

While embodiments of the invention will be described in which the vector friendly instruction format supports the following: a 64 byte vector operand length (or size) with 32 bit (4 byte) or 64 bit (8 byte) data element widths (or sizes) (and thus, a 64 byte vector consists of either 16 doubleword-size elements or alternatively, 8 quadword-size elements); a 64 byte vector operand length (or size) with 16 bit (2 byte) or 8 bit (1 byte) data element widths (or sizes); a 32 byte vector operand length (or size) with 32 bit (4 byte), 64 bit (8 byte), 16 bit (2 byte), or 8 bit (1 byte) data element widths (or sizes); and a 16 byte vector operand length (or size) with 32 bit (4 byte), 64 bit (8 byte), 16 bit (2 byte), or 8 bit (1 byte) data element widths (or sizes); alternative embodiments may support more, less and/or different vector operand sizes (e.g., 256 byte vector operands) with more, less, or different data element widths (e.g., 128 bit (16 byte) data element widths).

The class A instruction templates in FIG. 5A include: 1) within the no memory access 505 instruction templates there is shown a no memory access, full round control type operation 510 instruction template and a no memory access, data transform type operation 515 instruction template; and 2) within the memory access 520 instruction templates there is shown a memory access, temporal 525 instruction template and a memory access, non-temporal 530 instruction template. The class B instruction templates in FIG. 5B include: 1) within the no memory access 505 instruction templates there is shown a no memory access, write mask control, partial round control type operation 512 instruction template and a no memory access, write mask control, vsize type operation 517 instruction template; and 2) within the memory access 520 instruction templates there is shown a memory access, write mask control 527 instruction template.

The generic vector friendly instruction format 500 includes the following fields listed below in the order illustrated in FIGS. 5A and 5B.

Format field 540—a specific value (an instruction format identifier value) in this field uniquely identifies the vector friendly instruction format, and thus occurrences of instructions in the vector friendly instruction format in instruction streams. As such, this field is optional in the sense that it is not needed for an instruction set that has only the generic vector friendly instruction format.

Base operation field 542—its content distinguishes different base operations.

Register index field 544—its content, directly or through address generation, specifies the locations of the source and destination operands, be they in registers or in memory. These include a sufficient number of bits to select N registers from a PxQ (e.g. 32×512, 16×128, 32×1024, 64×1024) register file. While in one embodiment N may be up to three sources and one destination register, alternative embodiments may support more or less sources and destination registers (e.g., may support up to two sources where one of these sources also acts as the destination, may support up to three sources where one of these sources also acts as the destination, may support up to two sources and one destination).

Modifier field 546—its content distinguishes occurrences of instructions in the generic vector instruction format that specify memory access from those that do not; that is, between no memory access 505 instruction templates and memory access 520 instruction templates. Memory access operations read and/or write to the memory hierarchy (in some cases specifying the source and/or destination addresses using values in registers), while non-memory access operations do not (e.g., the source and destinations are registers). While in one embodiment this field also selects between three different ways to perform memory address calculations, alternative embodiments may support more, less, or different ways to perform memory address calculations.

Augmentation operation field 550—its content distinguishes which one of a variety of different operations to be performed in addition to the base operation. This field is context specific. In one embodiment of the invention, this field is divided into a class field 568, an alpha field 552, and a beta field 554. The augmentation operation field 550 allows common groups of operations to be performed in a single instruction rather than 2, 3, or 4 instructions.

Scale field 560—its content allows for the scaling of the index field's content for memory address generation (e.g., for address generation that uses 2^(scale)*index+base).

Displacement Field 562A—its content is used as part of memory address generation (e.g., for address generation that uses 2^(scale)*index+base+displacement).

Displacement Factor Field 562B (note that the juxtaposition of displacement field 562A directly over displacement factor field 562B indicates one or the other is used)—its content is used as part of address generation; it specifies a displacement factor that is to be scaled by the size of a memory access (N)—where N is the number of bytes in the memory access (e.g., for address generation that uses 2^(scale)*index+base+scaled displacement). Redundant low-order bits are ignored and hence, the displacement factor field's content is multiplied by the memory operands total size (N) in order to generate the final displacement to be used in calculating an effective address. The value of N is determined by the processor hardware at runtime based on the full opcode field 574 (described later herein) and the data manipulation field 554C. The displacement field 562A and the displacement factor field 562B are optional in the sense that they are not used for the no memory access 505 instruction templates and/or different embodiments may implement only one or none of the two.

Data element width field 564—its content distinguishes which one of a number of data element widths is to be used (in some embodiments for all instructions; in other embodiments for only some of the instructions). This field is optional in the sense that it is not needed if only one data element width is supported and/or data element widths are supported using some aspect of the opcodes.

Write mask field 570—its content controls, on a per data element position basis, whether that data element position in the destination vector operand reflects the result of the base operation and augmentation operation. Class A instruction templates support merging-writemasking, while class B instruction templates support both merging- and zeroing-writemasking. When merging, vector masks allow any set of elements in the destination to be protected from updates during the execution of any operation (specified by the base operation and the augmentation operation); in other one embodiment, preserving the old value of each element of the destination where the corresponding mask bit has a 0. In contrast, when zeroing vector masks allow any set of elements in the destination to be zeroed during the execution of any operation (specified by the base operation and the augmentation operation); in one embodiment, an element of the destination is set to 0 when the corresponding mask bit has a 0 value. A subset of this functionality is the ability to control the vector length of the operation being performed (that is, the span of elements being modified, from the first to the last one); however, it is not necessary that the elements that are modified be consecutive. Thus, the write mask field 570 allows for partial vector operations, including loads, stores, arithmetic, logical, etc. While embodiments of the invention are described in which the write mask field's 570 content selects one of a number of write mask registers that contains the write mask to be used (and thus the write mask field's 570 content indirectly identifies that masking to be performed), alternative embodiments instead or additional allow the mask write field's 570 content to directly specify the masking to be performed.

Immediate field 572—its content allows for the specification of an immediate. This field is optional in the sense that is it not present in an implementation of the generic vector friendly format that does not support immediate and it is not present in instructions that do not use an immediate.

Class field 568—its content distinguishes between different classes of instructions. With reference to FIGS. 5A and 5B, the contents of this field select between class A and class B instructions. In FIGS. 5A and 5B, rounded corner squares are used to indicate a specific value is present in a field (e.g., class A 568A and class B 568B for the class field 568 respectively in FIGS. 5A and 5B).

Instruction Templates of Class A

In the case of the non-memory access 505 instruction templates of class A, the alpha field 552 is interpreted as an RS field 552A, whose content distinguishes which one of the different augmentation operation types are to be performed (e.g., round 552A.1 and data transform 552A.2 are respectively specified for the no memory access, round type operation 510 and the no memory access, data transform type operation 515 instruction templates), while the beta field 554 distinguishes which of the operations of the specified type is to be performed. In the no memory access 505 instruction templates, the scale field 560, the displacement field 562A, and the displacement scale filed 562B are not present.

No-Memory Access Instruction Templates—Full Round Control Type Operation

In the no memory access full round control type operation 510 instruction template, the beta field 554 is interpreted as a round control field 554A, whose content(s) provide static rounding. While in the described embodiments of the invention the round control field 554A includes a suppress all floating point exceptions (SAE) field 556 and a round operation control field 558, alternative embodiments may support may encode both these concepts into the same field or only have one or the other of these concepts/fields (e.g., may have only the round operation control field 558).

SAE field 556—its content distinguishes whether or not to disable the exception event reporting; when the SAE field's 556 content indicates suppression is enabled, a given instruction does not report any kind of floating-point exception flag and does not raise any floating point exception handler.

Round operation control field 558—its content distinguishes which one of a group of rounding operations to perform (e.g., Round-up, Round-down, Round-towards-zero and Round-to-nearest). Thus, the round operation control field 558 allows for the changing of the rounding mode on a per instruction basis. In one embodiment of the invention where a processor includes a control register for specifying rounding modes, the round operation control field's 550 content overrides that register value.

No Memory Access Instruction Templates—Data Transform Type Operation

In the no memory access data transform type operation 515 instruction template, the beta field 554 is interpreted as a data transform field 554B, whose content distinguishes which one of a number of data transforms is to be performed (e.g., no data transform, swizzle, broadcast).

In the case of a memory access 520 instruction template of class A, the alpha field 552 is interpreted as an eviction hint field 552B, whose content distinguishes which one of the eviction hints is to be used (in FIG. 5A, temporal 552B.1 and non-temporal 552B.2 are respectively specified for the memory access, temporal 525 instruction template and the memory access, non-temporal 530 instruction template), while the beta field 554 is interpreted as a data manipulation field 554C, whose content distinguishes which one of a number of data manipulation operations (also known as primitives) is to be performed (e.g., no manipulation; broadcast; up conversion of a source; and down conversion of a destination). The memory access 520 instruction templates include the scale field 560, and optionally the displacement field 562A or the displacement scale field 562B.

Vector memory instructions perform vector loads from and vector stores to memory, with conversion support. As with regular vector instructions, vector memory instructions transfer data from/to memory in a data element-wise fashion, with the elements that are actually transferred is dictated by the contents of the vector mask that is selected as the write mask.

Memory Access Instruction Templates—Temporal

Temporal data is data likely to be reused soon enough to benefit from caching. This is, however, a hint, and different processors may implement it in different ways, including ignoring the hint entirely.

Memory Access Instruction Templates—Non-Temporal

Non-temporal data is data unlikely to be reused soon enough to benefit from caching in the 1st-level cache and should be given priority for eviction. This is, however, a hint, and different processors may implement it in different ways, including ignoring the hint entirely.

Instruction Templates of Class B

In the case of the instruction templates of class B, the alpha field 552 is interpreted as a write mask control (Z) field 552C, whose content distinguishes whether the write masking controlled by the write mask field 570 should be a merging or a zeroing.

In the case of the non-memory access 505 instruction templates of class B, part of the beta field 554 is interpreted as an RL field 557A, whose content distinguishes which one of the different augmentation operation types are to be performed (e.g., round 557A.1 and vector length (VSIZE) 557A.2 are respectively specified for the no memory access, write mask control, partial round control type operation 512 instruction template and the no memory access, write mask control, VSIZE type operation 517 instruction template), while the rest of the beta field 554 distinguishes which of the operations of the specified type is to be performed. In the no memory access 505 instruction templates, the scale field 560, the displacement field 562A, and the displacement scale filed 562B are not present.

In the no memory access, write mask control, partial round control type operation 510 instruction template, the rest of the beta field 554 is interpreted as a round operation field 559A and exception event reporting is disabled (a given instruction does not report any kind of floating-point exception flag and does not raise any floating point exception handler).

Round operation control field 559A—just as round operation control field 558, its content distinguishes which one of a group of rounding operations to perform (e.g., Round-up, Round-down, Round-towards-zero and Round-to-nearest). Thus, the round operation control field 559A allows for the changing of the rounding mode on a per instruction basis. In one embodiment of the invention where a processor includes a control register for specifying rounding modes, the round operation control field's 550 content overrides that register value.

In the no memory access, write mask control, VSIZE type operation 517 instruction template, the rest of the beta field 554 is interpreted as a vector length field 559B, whose content distinguishes which one of a number of data vector lengths is to be performed on (e.g., 128, 256, or 512 byte).

In the case of a memory access 520 instruction template of class B, part of the beta field 554 is interpreted as a broadcast field 557B, whose content distinguishes whether or not the broadcast type data manipulation operation is to be performed, while the rest of the beta field 554 is interpreted the vector length field 559B. The memory access 520 instruction templates include the scale field 560, and optionally the displacement field 562A or the displacement scale field 562B.

With regard to the generic vector friendly instruction format 500, a full opcode field 574 is shown including the format field 540, the base operation field 542, and the data element width field 564. While one embodiment is shown where the full opcode field 574 includes all of these fields, the full opcode field 574 includes less than all of these fields in embodiments that do not support all of them. The full opcode field 574 provides the operation code (opcode).

The augmentation operation field 550, the data element width field 564, and the write mask field 570 allow these features to be specified on a per instruction basis in the generic vector friendly instruction format.

The combination of write mask field and data element width field create typed instructions in that they allow the mask to be applied based on different data element widths.

The various instruction templates found within class A and class B are beneficial in different situations. In some embodiments of the invention, different processors or different cores within a processor may support only class A, only class B, or both classes. For instance, a high performance general purpose out-of-order core intended for general-purpose computing may support only class B, a core intended primarily for graphics and/or scientific (throughput) computing may support only class A, and a core intended for both may support both (of course, a core that has some mix of templates and instructions from both classes but not all templates and instructions from both classes is within the purview of the invention). Also, a single processor may include multiple cores, all of which support the same class or in which different cores support different class. For instance, in a processor with separate graphics and general purpose cores, one of the graphics cores intended primarily for graphics and/or scientific computing may support only class A, while one or more of the general purpose cores may be high performance general purpose cores with out of order execution and register renaming intended for general-purpose computing that support only class B. Another processor that does not have a separate graphics core, may include one more general purpose in-order or out-of-order cores that support both class A and class B. Of course, features from one class may also be implement in the other class in different embodiments of the invention. Programs written in a high level language would be put (e.g., just in time compiled or statically compiled) into an variety of different executable forms, including: 1) a form having only instructions of the class(es) supported by the target processor for execution; or 2) a form having alternative routines written using different combinations of the instructions of all classes and having control flow code that selects the routines to execute based on the instructions supported by the processor which is currently executing the code.

Exemplary Specific Vector Friendly Instruction Format

FIG. 6 is a block diagram illustrating an exemplary specific vector friendly instruction format according to embodiments of the invention. FIG. 6 shows a specific vector friendly instruction format 600 that is specific in the sense that it specifies the location, size, interpretation, and order of the fields, as well as values for some of those fields. The specific vector friendly instruction format 600 may be used to extend the x86 instruction set, and thus some of the fields are similar or the same as those used in the existing x86 instruction set and extension thereof (e.g., AVX). This format remains consistent with the prefix encoding field, real opcode byte field, MOD R/M field, SIB field, displacement field, and immediate fields of the existing x86 instruction set with extensions. The fields from FIG. 5 into which the fields from FIG. 6 map are illustrated.

It should be understood that, although embodiments of the invention are described with reference to the specific vector friendly instruction format 600 in the context of the generic vector friendly instruction format 500 for illustrative purposes, the invention is not limited to the specific vector friendly instruction format 600 except where claimed. For example, the generic vector friendly instruction format 500 contemplates a variety of possible sizes for the various fields, while the specific vector friendly instruction format 600 is shown as having fields of specific sizes. By way of specific example, while the data element width field 564 is illustrated as a one bit field in the specific vector friendly instruction format 600, the invention is not so limited (that is, the generic vector friendly instruction format 500 contemplates other sizes of the data element width field 564).

The generic vector friendly instruction format 500 includes the following fields listed below in the order illustrated in FIG. 6A.

EVEX Prefix (Bytes 0-3) 602—is encoded in a four-byte form.

Format Field 540 (EVEX Byte 0, bits [7:0])—the first byte (EVEX Byte 0) is the format field 540 and it contains 0x62 (the unique value used for distinguishing the vector friendly instruction format in one embodiment of the invention).

The second-fourth bytes (EVEX Bytes 1-3) include a number of bit fields providing specific capability.

REX field 605 (EVEX Byte 1, bits [7-5])—consists of a EVEX.R bit field (EVEX Byte 1, bit [7]—R), EVEX.X bit field (EVEX byte 1, bit [6]—X), and 557BEX byte 1, bit[5]—B). The EVEX.R, EVEX.X, and EVEX.B bit fields provide the same functionality as the corresponding VEX bit fields, and are encoded using 1s complement form, i.e. ZMM0 is encoded as 1111B, ZMM15 is encoded as 0000B. Other fields of the instructions encode the lower three bits of the register indexes as is known in the art (rrr, xxx, and bbb), so that Rrrr, Xxxx, and Bbbb may be formed by adding EVEX.R, EVEX.X, and EVEX.B.

REX′ field 510—this is the first part of the REX′ field 510 and is the EVEX.R′ bit field (EVEX Byte 1, bit [4]—R′) that is used to encode either the upper 16 or lower 16 of the extended 32 register set. In one embodiment of the invention, this bit, along with others as indicated below, is stored in bit inverted format to distinguish (in the well-known x86 32-bit mode) from the BOUND instruction, whose real opcode byte is 62, but does not accept in the MOD R/M field (described below) the value of 11 in the MOD field; alternative embodiments of the invention do not store this and the other indicated bits below in the inverted format. A value of 1 is used to encode the lower 16 registers. In other words, R′Rrrr is formed by combining EVEX.R′, EVEX.R, and the other RRR from other fields.

Opcode map field 615 (EVEX byte 1, bits [3:0]—mmmm)—its content encodes an implied leading opcode byte (0F, 0F 38, or 0F 3).

Data element width field 564 (EVEX byte 2, bit [7]—W)—is represented by the notation EVEX.W. EVEX.W is used to define the granularity (size) of the datatype (either 32-bit data elements or 64-bit data elements).

EVEX.vvvv 620 (EVEX Byte 2, bits [6:3]-vvvv)—the role of EVEX.vvvv may include the following: 1) EVEX.vvvv encodes the first source register operand, specified in inverted (1s complement) form and is valid for instructions with 2 or more source operands; 2) EVEX.vvvv encodes the destination register operand, specified in 1s complement form for certain vector shifts; or 3) EVEX.vvvv does not encode any operand, the field is reserved and should contain 1111b. Thus, EVEX.vvvv field 620 encodes the 4 low-order bits of the first source register specifier stored in inverted (1s complement) form. Depending on the instruction, an extra different EVEX bit field is used to extend the specifier size to 32 registers.

EVEX.U 568 Class field (EVEX byte 2, bit [2]-U)—If EVEX.U=0, it indicates class A or EVEX.U0; if EVEX.U=1, it indicates class B or EVEX.U1.

Prefix encoding field 625 (EVEX byte 2, bits [1:0]-pp)—provides additional bits for the base operation field. In addition to providing support for the legacy SSE instructions in the EVEX prefix format, this also has the benefit of compacting the SIMD prefix (rather than requiring a byte to express the SIMD prefix, the EVEX prefix requires only 2 bits). In one embodiment, to support legacy SSE instructions that use a SIMD prefix (66H, F2H, F3H) in both the legacy format and in the EVEX prefix format, these legacy SIMD prefixes are encoded into the SIMD prefix encoding field; and at runtime are expanded into the legacy SIMD prefix prior to being provided to the decoder's PLA (so the PLA can execute both the legacy and EVEX format of these legacy instructions without modification). Although newer instructions could use the EVEX prefix encoding field's content directly as an opcode extension, certain embodiments expand in a similar fashion for consistency but allow for different meanings to be specified by these legacy SIMD prefixes. An alternative embodiment may redesign the PLA to support the 2 bit SIMD prefix encodings, and thus not require the expansion.

Alpha field 552 (EVEX byte 3, bit [7]—EH; also known as EVEX.EH, EVEX.rs, EVEX.RL, EVEX.write mask control, and EVEX.N; also illustrated with α)—as previously described, this field is context specific.

Beta field 554 (EVEX byte 3, bits [6:4]-SSS, also known as EVEX.s₂₋₀, EVEX.r₂₋₀, EVEX.rr1, EVEX.LL0, EVEX.LLB; also illustrated with βββ)—as previously described, this field is context specific.

REX′ field 510—this is the remainder of the REX′ field and is the EVEX.V′ bit field (EVEX Byte 3, bit [3]—V′) that may be used to encode either the upper 16 or lower 16 of the extended 32 register set. This bit is stored in bit inverted format. A value of 1 is used to encode the lower 16 registers. In other words, V′VVVV is formed by combining EVEX.V′, EVEX.vvvv.

Write mask field 570 (EVEX byte 3, bits [2:0]-kkk)—its content specifies the index of a register in the write mask registers as previously described. In one embodiment of the invention, the specific value EVEX kkk=000 has a special behavior implying no write mask is used for the particular instruction (this may be implemented in a variety of ways including the use of a write mask hardwired to all ones or hardware that bypasses the masking hardware).

Real Opcode Field 630 (Byte 4) is also known as the opcode byte. Part of the opcode is specified in this field.

MOD R/M Field 640 (Byte 5) includes MOD field 642, Reg field 644, and R/M field 646. As previously described, the MOD field's 642 content distinguishes between memory access and non-memory access operations. The role of Reg field 644 can be summarized to two situations: encoding either the destination register operand or a source register operand, or be treated as an opcode extension and not used to encode any instruction operand. The role of R/M field 646 may include the following: encoding the instruction operand that references a memory address, or encoding either the destination register operand or a source register operand.

Scale, Index, Base (SIB) Byte (Byte 6)—As previously described, the scale field's 550 content is used for memory address generation. SIB.xxx 654 and SIB.bbb 656—the contents of these fields have been previously referred to with regard to the register indexes Xxxx and Bbbb.

Displacement field 562A (Bytes 7-10)—when MOD field 642 contains 10, bytes 7-10 are the displacement field 562A, and it works the same as the legacy 32-bit displacement (disp32) and works at byte granularity.

Displacement factor field 562B (Byte 7)—when MOD field 642 contains 01, byte 7 is the displacement factor field 562B. The location of this field is that same as that of the legacy x86 instruction set 8-bit displacement (disp8), which works at byte granularity. Since disp8 is sign extended, it can only address between −128 and 127 bytes offsets; in terms of 64 byte cache lines, disp8 uses 8 bits that can be set to only four really useful values −128, −64, 0, and 64; since a greater range is often needed, disp32 is used; however, disp32 requires 4 bytes. In contrast to disp8 and disp32, the displacement factor field 562B is a reinterpretation of disp8; when using displacement factor field 562B, the actual displacement is determined by the content of the displacement factor field multiplied by the size of the memory operand access (N). This type of displacement is referred to as disp8*N. This reduces the average instruction length (a single byte of used for the displacement but with a much greater range). Such compressed displacement is based on the assumption that the effective displacement is multiple of the granularity of the memory access, and hence, the redundant low-order bits of the address offset do not need to be encoded. In other words, the displacement factor field 562B substitutes the legacy x86 instruction set 8-bit displacement. Thus, the displacement factor field 562B is encoded the same way as an x86 instruction set 8-bit displacement (so no changes in the ModRM/SIB encoding rules) with the only exception that disp8 is overloaded to disp8*N. In other words, there are no changes in the encoding rules or encoding lengths but only in the interpretation of the displacement value by hardware (which needs to scale the displacement by the size of the memory operand to obtain a byte-wise address offset). Immediate field 572 operates as previously described.

Full Opcode Field

FIG. 6B is a block diagram illustrating the fields of the specific vector friendly instruction format 600 that make up the full opcode field 574 according to one embodiment of the invention. Specifically, the full opcode field 574 includes the format field 540, the base operation field 542, and the data element width (W) field 564. The base operation field 542 includes the prefix encoding field 625, the opcode map field 615, and the real opcode field 630.

Register Index Field

FIG. 6C is a block diagram illustrating the fields of the specific vector friendly instruction format 600 that make up the register index field 544 according to one embodiment of the invention. Specifically, the register index field 544 includes the REX field 605, the REX′ field 610, the MODR/M.reg field 644, the MODR/M.r/m field 646, the VVVV field 620, xxx field 654, and the bbb field 656.

Augmentation Operation Field

FIG. 6D is a block diagram illustrating the fields of the specific vector friendly instruction format 600 that make up the augmentation operation field 550 according to one embodiment of the invention. When the class (U) field 568 contains 0, it signifies EVEX.U0 (class A 568A); when it contains 1, it signifies EVEX.U1 (class B 568B). When U=0 and the MOD field 642 contains 11 (signifying a no memory access operation), the alpha field 552 (EVEX byte 3, bit [7]—EH) is interpreted as the rs field 552A. When the rs field 552A contains a 1 (round 552A.1), the beta field 554 (EVEX byte 3, bits [6:4]—SSS) is interpreted as the round control field 554A. The round control field 554A includes a one bit SAE field 556 and a two bit round operation field 558. When the rs field 552A contains a 0 (data transform 552A.2), the beta field 554 (EVEX byte 3, bits [6:4]—SSS) is interpreted as a three bit data transform field 554B. When U=0 and the MOD field 642 contains 00, 01, or 10 (signifying a memory access operation), the alpha field 552 (EVEX byte 3, bit [7]—EH) is interpreted as the eviction hint (EH) field 552B and the beta field 554 (EVEX byte 3, bits [6:4]—SSS) is interpreted as a three bit data manipulation field 554C.

When U=1, the alpha field 552 (EVEX byte 3, bit [7]—EH) is interpreted as the write mask control (Z) field 552C. When U=1 and the MOD field 642 contains 11 (signifying a no memory access operation), part of the beta field 554 (EVEX byte 3, bit [4]—S₀) is interpreted as the RL field 557A; when it contains a 1 (round 557A.1) the rest of the beta field 554 (EVEX byte 3, bit [6-5]—S₂₋₁) is interpreted as the round operation field 559A, while when the RL field 557A contains a 0 (VSIZE 557.A2) the rest of the beta field 554 (EVEX byte 3, bit [6-5]—S₂₋₁) is interpreted as the vector length field 559B (EVEX byte 3, bit [6-5]—L₁₋₀). When U=1 and the MOD field 642 contains 00, 01, or 10 (signifying a memory access operation), the beta field 554 (EVEX byte 3, bits [6:4]—SSS) is interpreted as the vector length field 559B (EVEX byte 3, bit [6-5]—L₁₋₀) and the broadcast field 557B (EVEX byte 3, bit [4]—B).

Exemplary Register Architecture

FIG. 7 is a block diagram of a register architecture 700 according to one embodiment of the invention. In the embodiment illustrated, there are 32 vector registers 710 that are 512 bits wide; these registers are referenced as zmm0 through zmm31. The lower order 256 bits of the lower 16 zmm registers are overlaid on registers ymm0-16. The lower order 128 bits of the lower 16 zmm registers (the lower order 128 bits of the ymm registers) are overlaid on registers xmm0-15. The specific vector friendly instruction format 600 operates on these overlaid register file as illustrated in the below tables.

Adjustable Vector Length Class Operations Registers Instruction Templates A 510, 515, zmm registers (the vector that do not include the (FIG. 5A; 525, 530 length is 64 byte) vector length field U = 0) 559B B 512 zmm registers (the vector (FIG. 5B; length is 64 byte) U = 1) Instruction templates B 517, 527 zmm, ymm, or xmm that do include the (FIG. 5B; registers (the vector vector length field U = 1) length is 64 byte, 32 559B byte, or 16 byte) depending on the vector length field 559B

In other words, the vector length field 559B selects between a maximum length and one or more other shorter lengths, where each such shorter length is half the length of the preceding length; and instructions templates without the vector length field 559B operate on the maximum vector length. Further, in one embodiment, the class B instruction templates of the specific vector friendly instruction format 600 operate on packed or scalar single/double-precision floating point data and packed or scalar integer data. Scalar operations are operations performed on the lowest order data element position in an zmm/ymm/xmm register; the higher order data element positions are either left the same as they were prior to the instruction or zeroed depending on the embodiment.

Write mask registers 715—in the embodiment illustrated, there are 8 write mask registers (k0 through k7), each 64 bits in size. In an alternate embodiment, the write mask registers 715 are 16 bits in size. As previously described, in one embodiment of the invention, the vector mask register k0 cannot be used as a write mask; when the encoding that would normally indicate k0 is used for a write mask, it selects a hardwired write mask of 0xFFFF, effectively disabling write masking for that instruction.

General-purpose registers 725—in the embodiment illustrated, there are sixteen 64-bit general-purpose registers that are used along with the existing x86 addressing modes to address memory operands. These registers are referenced by the names RAX, RBX, RCX, RDX, RBP, RSI, RDI, RSP, and R8 through R15.

Scalar floating point stack register file (x87 stack) 745, on which is aliased the MMX packed integer flat register file 750—in the embodiment illustrated, the x87 stack is an eight-element stack used to perform scalar floating-point operations on 32/64/80-bit floating point data using the x87 instruction set extension; while the MMX registers are used to perform operations on 64-bit packed integer data, as well as to hold operands for some operations performed between the MMX and XMM registers.

Alternative embodiments of the invention may use wider or narrower registers. Additionally, alternative embodiments of the invention may use more, less, or different register files and registers.

Exemplary Core Architectures, Processors, and Computer Architectures

Processor cores may be implemented in different ways, for different purposes, and in different processors. For instance, implementations of such cores may include: 1) a general purpose in-order core intended for general-purpose computing; 2) a high performance general purpose out-of-order core intended for general-purpose computing; 3) a special purpose core intended primarily for graphics and/or scientific (throughput) computing. Implementations of different processors may include: 1) a CPU including one or more general purpose in-order cores intended for general-purpose computing and/or one or more general purpose out-of-order cores intended for general-purpose computing; and 2) a coprocessor including one or more special purpose cores intended primarily for graphics and/or scientific (throughput). Such different processors lead to different computer system architectures, which may include: 1) the coprocessor on a separate chip from the CPU; 2) the coprocessor on a separate die in the same package as a CPU; 3) the coprocessor on the same die as a CPU (in which case, such a coprocessor is sometimes referred to as special purpose logic, such as integrated graphics and/or scientific (throughput) logic, or as special purpose cores); and 4) a system on a chip that may include on the same die the described CPU (sometimes referred to as the application core(s) or application processor(s)), the above described coprocessor, and additional functionality. Exemplary core architectures are described next, followed by descriptions of exemplary processors and computer architectures.

Exemplary Core Architectures

In-Order and Out-of-Order Core Block Diagram

FIG. 8A is a block diagram illustrating both an exemplary in-order pipeline and an exemplary register renaming, out-of-order issue/execution pipeline according to embodiments of the invention. FIG. 8B is a block diagram illustrating both an exemplary embodiment of an in-order architecture core and an exemplary register renaming, out-of-order issue/execution architecture core to be included in a processor according to embodiments of the invention. The solid lined boxes in FIGS. 8A and 8B illustrate the in-order pipeline and in-order core, while the optional addition of the dashed lined boxes illustrates the register renaming, out-of-order issue/execution pipeline and core. Given that the in-order aspect is a subset of the out-of-order aspect, the out-of-order aspect will be described.

In FIG. 8A, a processor pipeline 800 includes a fetch stage 802, a length decode stage 804, a decode stage 806, an allocation stage 808, a renaming stage 810, a scheduling (also known as a dispatch or issue) stage 812, a register read/memory read stage 814, an execute stage 816, a write back/memory write stage 818, an exception handling stage 822, and a commit stage 824.

FIG. 8B shows processor core 890 including a front end unit 830 coupled to an execution engine unit 850, and both are coupled to a memory unit 870. The core 890 may be a reduced instruction set computing (RISC) core, a complex instruction set computing (CISC) core, a very long instruction word (VLIW) core, or a hybrid or alternative core type. As yet another option, the core 890 may be a special-purpose core, such as, for example, a network or communication core, compression engine, coprocessor core, general purpose computing graphics processing unit (GPGPU) core, graphics core, or the like.

The front end unit 830 includes a branch prediction unit 832 coupled to an instruction cache unit 834, which is coupled to an instruction translation lookaside buffer (TLB) 836, which is coupled to an instruction fetch unit 838, which is coupled to a decode unit 840. The decode unit 840 (or decoder) may decode instructions, and generate as an output one or more operations, micro-code entry points, microinstructions, other instructions, or other control signals, which are decoded from, or which otherwise reflect, or are derived from, the original instructions. The decode unit 840 may be implemented using various different mechanisms. Examples of suitable mechanisms include, but are not limited to, look-up tables, hardware implementations, programmable logic arrays (PLAs), microcode read only memories (ROMs), etc. In one embodiment, the core 890 includes a microcode ROM or other medium that stores microcode for certain macroinstructions (e.g., in decode unit 840 or otherwise within the front end unit 830). The decode unit 840 is coupled to a rename/allocator unit 852 in the execution engine unit 850.

The execution engine unit 850 includes the rename/allocator unit 852 coupled to a retirement unit 854 and a set of one or more scheduler unit(s) 856. The scheduler unit(s) 856 represents any number of different schedulers, including reservations stations, central instruction window, etc. The scheduler unit(s) 856 is coupled to the physical register file(s) unit(s) 858. Each of the physical register file(s) units 858 represents one or more physical register files, different ones of which store one or more different data types, such as scalar integer, scalar floating point, packed integer, packed floating point, vector integer, vector floating point, status (e.g., an instruction pointer that is the address of the next instruction to be executed), etc. In one embodiment, the physical register file(s) unit 858 comprises a vector registers unit, a write mask registers unit, and a scalar registers unit. These register units may provide architectural vector registers, vector mask registers, and general purpose registers. The physical register file(s) unit(s) 858 is overlapped by the retirement unit 854 to illustrate various ways in which register renaming and out-of-order execution may be implemented (e.g., using a reorder buffer(s) and a retirement register file(s); using a future file(s), a history buffer(s), and a retirement register file(s); using a register maps and a pool of registers; etc.). The retirement unit 854 and the physical register file(s) unit(s) 858 are coupled to the execution cluster(s) 860. The execution cluster(s) 860 includes a set of one or more execution units 862 and a set of one or more memory access units 864. The execution units 862 may perform various operations (e.g., shifts, addition, subtraction, multiplication) and on various types of data (e.g., scalar floating point, packed integer, packed floating point, vector integer, vector floating point). While some embodiments may include a number of execution units dedicated to specific functions or sets of functions, other embodiments may include only one execution unit or multiple execution units that all perform all functions. The scheduler unit(s) 856, physical register file(s) unit(s) 858, and execution cluster(s) 860 are shown as being possibly plural because certain embodiments create separate pipelines for certain types of data/operations (e.g., a scalar integer pipeline, a scalar floating point/packed integer/packed floating point/vector integer/vector floating point pipeline, and/or a memory access pipeline that each have their own scheduler unit, physical register file(s) unit, and/or execution cluster—and in the case of a separate memory access pipeline, certain embodiments are implemented in which only the execution cluster of this pipeline has the memory access unit(s) 864). It should also be understood that where separate pipelines are used, one or more of these pipelines may be out-of-order issue/execution and the rest in-order.

The set of memory access units 864 is coupled to the memory unit 870, which includes a data TLB unit 872 coupled to a data cache unit 874 coupled to a level 2 (L2) cache unit 876. In one exemplary embodiment, the memory access units 864 may include a load unit, a store address unit, and a store data unit, each of which is coupled to the data TLB unit 872 in the memory unit 870. The instruction cache unit 834 is further coupled to a level 2 (L2) cache unit 876 in the memory unit 870. The L2 cache unit 876 is coupled to one or more other levels of cache and eventually to a main memory.

By way of example, the exemplary register renaming, out-of-order issue/execution core architecture may implement the pipeline 800 as follows: 1) the instruction fetch 838 performs the fetch and length decoding stages 802 and 804; 2) the decode unit 840 performs the decode stage 806; 3) the rename/allocator unit 852 performs the allocation stage 808 and renaming stage 810; 4) the scheduler unit(s) 856 performs the schedule stage 812; 5) the physical register file(s) unit(s) 858 and the memory unit 870 perform the register read/memory read stage 814; the execution cluster 860 perform the execute stage 816; 6) the memory unit 870 and the physical register file(s) unit(s) 858 perform the write back/memory write stage 818; 7) various units may be involved in the exception handling stage 822; and 8) the retirement unit 854 and the physical register file(s) unit(s) 858 perform the commit stage 824.

The core 890 may support one or more instructions sets (e.g., the x86 instruction set (with some extensions that have been added with newer versions); the MIPS instruction set of MIPS Technologies of Sunnyvale, Calif.; the ARM instruction set (with optional additional extensions such as NEON) of ARM Holdings of Sunnyvale, Calif.), including the instruction(s) described herein. In one embodiment, the core 890 includes logic to support a packed data instruction set extension (e.g., AVX1, AVX2), thereby allowing the operations used by many multimedia applications to be performed using packed data.

It should be understood that the core may support multithreading (executing two or more parallel sets of operations or threads), and may do so in a variety of ways including time sliced multithreading, simultaneous multithreading (where a single physical core provides a logical core for each of the threads that physical core is simultaneously multithreading), or a combination thereof (e.g., time sliced fetching and decoding and simultaneous multithreading thereafter such as in the Intel® Hyperthreading technology).

While register renaming is described in the context of out-of-order execution, it should be understood that register renaming may be used in an in-order architecture. While the illustrated embodiment of the processor also includes separate instruction and data cache units 834/874 and a shared L2 cache unit 876, alternative embodiments may have a single internal cache for both instructions and data, such as, for example, a Level 1 (L1) internal cache, or multiple levels of internal cache. In some embodiments, the system may include a combination of an internal cache and an external cache that is external to the core and/or the processor. Alternatively, all of the cache may be external to the core and/or the processor.

Specific Exemplary In-Order Core Architecture

FIGS. 9A and 9B illustrate a block diagram of a more specific exemplary in-order core architecture, which core would be one of several logic blocks (including other cores of the same type and/or different types) in a chip. The logic blocks communicate through a high-bandwidth interconnect network (e.g., a ring network) with some fixed function logic, memory I/O interfaces, and other necessary I/O logic, depending on the application.

FIG. 9A is a block diagram of a single processor core, along with its connection to the on-die interconnect network 902 and with its local subset of the Level 2 (L2) cache 904, according to embodiments of the invention. In one embodiment, an instruction decoder 900 supports the x86 instruction set with a packed data instruction set extension. An L1 cache 906 allows low-latency accesses to cache memory into the scalar and vector units. While in one embodiment (to simplify the design), a scalar unit 908 and a vector unit 910 use separate register sets (respectively, scalar registers 912 and vector registers 914) and data transferred between them is written to memory and then read back in from a level 1 (L1) cache 906, alternative embodiments of the invention may use a different approach (e.g., use a single register set or include a communication path that allow data to be transferred between the two register files without being written and read back).

The local subset of the L2 cache 904 is part of a global L2 cache that is divided into separate local subsets, one per processor core. Each processor core has a direct access path to its own local subset of the L2 cache 904. Data read by a processor core is stored in its L2 cache subset 904 and can be accessed quickly, in parallel with other processor cores accessing their own local L2 cache subsets. Data written by a processor core is stored in its own L2 cache subset 904 and is flushed from other subsets, if necessary. The ring network ensures coherency for shared data. The ring network is bi-directional to allow agents such as processor cores, L2 caches and other logic blocks to communicate with each other within the chip. Each ring data-path is 1012-bits wide per direction.

FIG. 9B is an expanded view of part of the processor core in FIG. 9A according to embodiments of the invention. FIG. 9B includes an L1 data cache 906A part of the L1 cache 904, as well as more detail regarding the vector unit 910 and the vector registers 914. Specifically, the vector unit 910 is a 16-wide vector processing unit (VPU) (see the 16-wide ALU 928), which executes one or more of integer, single-precision float, and double-precision float instructions. The VPU supports swizzling the register inputs with swizzle unit 920, numeric conversion with numeric convert units 922A-B, and replication with replication unit 924 on the memory input. Write mask registers 926 allow predicating resulting vector writes.

FIG. 10 is a block diagram of a processor 1000 that may have more than one core, may have an integrated memory controller, and may have integrated graphics according to embodiments of the invention. The solid lined boxes in FIG. 10 illustrate a processor 1000 with a single core 1002A, a system agent 1010, a set of one or more bus controller units 1016, while the optional addition of the dashed lined boxes illustrates an alternative processor 1000 with multiple cores 1002A-N, a set of one or more integrated memory controller unit(s) 1014 in the system agent unit 1010, and special purpose logic 1008.

Thus, different implementations of the processor 1000 may include: 1) a CPU with the special purpose logic 1008 being integrated graphics and/or scientific (throughput) logic (which may include one or more cores), and the cores 1002A-N being one or more general purpose cores (e.g., general purpose in-order cores, general purpose out-of-order cores, a combination of the two); 2) a coprocessor with the cores 1002A-N being a large number of special purpose cores intended primarily for graphics and/or scientific (throughput); and 3) a coprocessor with the cores 1002A-N being a large number of general purpose in-order cores. Thus, the processor 1000 may be a general-purpose processor, coprocessor or special-purpose processor, such as, for example, a network or communication processor, compression engine, graphics processor, GPGPU (general purpose graphics processing unit), a high-throughput many integrated core (MIC) coprocessor (including 30 or more cores), embedded processor, or the like. The processor may be implemented on one or more chips. The processor 1000 may be a part of and/or may be implemented on one or more substrates using any of a number of process technologies, such as, for example, BiCMOS, CMOS, or NMOS.

The memory hierarchy includes one or more levels of cache within the cores, a set or one or more shared cache units 1006, and external memory (not shown) coupled to the set of integrated memory controller units 1014. The set of shared cache units 1006 may include one or more mid-level caches, such as level 2 (L2), level 3 (L3), level 4 (L4), or other levels of cache, a last level cache (LLC), and/or combinations thereof. While in one embodiment a ring based interconnect unit 1012 interconnects the integrated graphics logic 1008, the set of shared cache units 1006, and the system agent unit 1010/integrated memory controller unit(s) 1014, alternative embodiments may use any number of well-known techniques for interconnecting such units. In one embodiment, coherency is maintained between one or more cache units 1006 and cores 1002-A-N.

In some embodiments, one or more of the cores 1002A-N are capable of multi-threading. The system agent 1010 includes those components coordinating and operating cores 1002A-N. The system agent unit 1010 may include for example a power control unit (PCU) and a display unit. The PCU may be or include logic and components needed for regulating the power state of the cores 1002A-N and the integrated graphics logic 1008. The display unit is for driving one or more externally connected displays.

The cores 1002A-N may be homogenous or heterogeneous in terms of architecture instruction set; that is, two or more of the cores 1002A-N may be capable of execution the same instruction set, while others may be capable of executing only a subset of that instruction set or a different instruction set.

Exemplary Computer Architectures

FIG. 11, FIG. 12, FIG. 13, and FIG. 14 are block diagrams of exemplary computer architectures. Other system designs and configurations known in the arts for laptops, desktops, handheld PCs, personal digital assistants, engineering workstations, servers, network devices, network hubs, switches, embedded processors, digital signal processors (DSPs), graphics devices, video game devices, set-top boxes, micro controllers, cell phones, portable media players, hand held devices, and various other electronic devices, are also suitable. In general, a huge variety of systems or electronic devices capable of incorporating a processor and/or other execution logic as disclosed herein are generally suitable.

Referring now to FIG. 11, shown is a block diagram of a system 1100 in accordance with one embodiment of the present invention. The system 1100 may include one or more processors 1110, 1115, which are coupled to a controller hub 1120. In one embodiment the controller hub 1120 includes a graphics memory controller hub (GMCH) 1190 and an Input/Output Hub (IOH) 1150 (which may be on separate chips); the GMCH 1190 includes memory and graphics controllers to which are coupled memory 1140 and a coprocessor 1145; the IOH 1150 is couples input/output (I/O) devices 1160 to the GMCH 1190. Alternatively, one or both of the memory and graphics controllers are integrated within the processor (as described herein), the memory 1140 and the coprocessor 1145 are coupled directly to the processor 1110, and the controller hub 1120 in a single chip with the IOH 1150.

The optional nature of additional processors 1115 is denoted in FIG. 11 with broken lines. Each processor 1110, 1115 may include one or more of the processing cores described herein and may be some version of the processor 1000.

The memory 1140 may be, for example, dynamic random access memory (DRAM), phase change memory (PCM), or a combination of the two. For at least one embodiment, the controller hub 1120 communicates with the processor(s) 1110, 1115 via a multi-drop bus, such as a frontside bus (FSB), point-to-point interface such as QuickPath Interconnect (QPI), or similar connection 1195.

In one embodiment, the coprocessor 1145 is a special-purpose processor, such as, for example, a high-throughput MIC processor, a network or communication processor, compression engine, graphics processor, GPGPU, embedded processor, or the like. In one embodiment, controller hub 1120 may include an integrated graphics accelerator.

There can be a variety of differences between the physical resources 1110, 1115 in terms of a spectrum of metrics of merit including architectural, microarchitectural, thermal, power consumption characteristics, and the like.

In one embodiment, the processor 1110 executes instructions that control data processing operations of a general type. Embedded within the instructions may be coprocessor instructions. The processor 1110 recognizes these coprocessor instructions as being of a type that should be executed by the attached coprocessor 1145. Accordingly, the processor 1110 issues these coprocessor instructions (or control signals representing coprocessor instructions) on a coprocessor bus or other interconnect, to coprocessor 1145. Coprocessor(s) 1145 accept and execute the received coprocessor instructions.

Referring now to FIG. 12, shown is a block diagram of a first more specific exemplary system 1200 in accordance with an embodiment of the present invention. As shown in FIG. 12, multiprocessor system 1200 is a point-to-point interconnect system, and includes a first processor 1270 and a second processor 1280 coupled via a point-to-point interconnect 1250. Each of processors 1270 and 1280 may be some version of the processor 1000. In one embodiment of the invention, processors 1270 and 1280 are respectively processors 1110 and 1115, while coprocessor 1238 is coprocessor 1145. In another embodiment, processors 1270 and 1280 are respectively processor 1110 coprocessor 1145.

Processors 1270 and 1280 are shown including integrated memory controller (IMC) units 1272 and 1282, respectively. Processor 1270 also includes as part of its bus controller units point-to-point (P-P) interfaces 1276 and 1278; similarly, second processor 1280 includes P-P interfaces 1286 and 1288. Processors 1270, 1280 may exchange information via a point-to-point (P-P) interface 1250 using P-P interface circuits 1278, 1288. As shown in FIG. 12, IMCs 1272 and 1282 couple the processors to respective memories, namely a memory 1232 and a memory 1234, which may be portions of main memory locally attached to the respective processors.

Processors 1270, 1280 may each exchange information with a chipset 1290 via individual P-P interfaces 1252, 1254 using point to point interface circuits 1276, 1294, 1286, 1298. Chipset 1290 may optionally exchange information with the coprocessor 1238 via a high-performance interface 1239. In one embodiment, the coprocessor 1238 is a special-purpose processor, such as, for example, a high-throughput MIC processor, a network or communication processor, compression engine, graphics processor, GPGPU, embedded processor, or the like.

A shared cache (not shown) may be included in either processor or outside of both processors, yet connected with the processors via P-P interconnect, such that either or both processors' local cache information may be stored in the shared cache if a processor is placed into a low power mode.

Chipset 1290 may be coupled to a first bus 1216 via an interface 1296. In one embodiment, first bus 1216 may be a Peripheral Component Interconnect (PCI) bus, or a bus such as a PCI Express bus or another third generation I/O interconnect bus, although the scope of the present invention is not so limited.

As shown in FIG. 12, various I/O devices 1214 may be coupled to first bus 1216, along with a bus bridge 1218 which couples first bus 1216 to a second bus 1220. In one embodiment, one or more additional processor(s) 1215, such as coprocessors, high-throughput MIC processors, GPGPU's, accelerators (such as, e.g., graphics accelerators or digital signal processing (DSP) units), field programmable gate arrays, or any other processor, are coupled to first bus 1216. In one embodiment, second bus 1220 may be a low pin count (LPC) bus. Various devices may be coupled to a second bus 1220 including, for example, a keyboard and/or mouse 1222, communication devices 1227 and a storage unit 1228 such as a disk drive or other mass storage device which may include instructions/code and data 1230, in one embodiment. Further, an audio I/O 1224 may be coupled to the second bus 1220. Note that other architectures are possible. For example, instead of the point-to-point architecture of FIG. 12, a system may implement a multi-drop bus or other such architecture.

Referring now to FIG. 13, shown is a block diagram of a second more specific exemplary system 1300 in accordance with an embodiment of the present invention. Like elements in FIGS. 12 and 13 bear like reference numerals, and certain aspects of FIG. 12 have been omitted from FIG. 13 in order to avoid obscuring other aspects of FIG. 13.

FIG. 13 illustrates that the processors 1270, 1280 may include integrated memory and I/O control logic (“CL”) 1272 and 1282, respectively. Thus, the CL 1272, 1282 include integrated memory controller units and include I/O control logic. FIG. 13 illustrates that not only are the memories 1232, 1234 coupled to the CL 1272, 1282, but also that I/O devices 1314 are also coupled to the control logic 1272, 1282. Legacy I/O devices 1315 are coupled to the chipset 1290.

Referring now to FIG. 14, shown is a block diagram of a SoC 1400 in accordance with an embodiment of the present invention. Similar elements in FIG. 10 bear like reference numerals. Also, dashed lined boxes are optional features on more advanced SoCs. In FIG. 14, an interconnect unit(s) 1402 is coupled to: an application processor 1410 which includes a set of one or more cores 202A-N and shared cache unit(s) 1006; a system agent unit 1010; a bus controller unit(s) 1016; an integrated memory controller unit(s) 1014; a set or one or more coprocessors 1420 which may include integrated graphics logic, an image processor, an audio processor, and a video processor; an static random access memory (SRAM) unit 1430; a direct memory access (DMA) unit 1432; and a display unit 1440 for coupling to one or more external displays. In one embodiment, the coprocessor(s) 1420 include a special-purpose processor, such as, for example, a network or communication processor, compression engine, GPGPU, a high-throughput MIC processor, embedded processor, or the like.

Embodiments of the mechanisms disclosed herein may be implemented in hardware, software, firmware, or a combination of such implementation approaches. Embodiments of the invention may be implemented as computer programs or program code executing on programmable systems comprising at least one processor, a storage system (including volatile and non-volatile memory and/or storage elements), at least one input device, and at least one output device.

Program code, such as code 1230 illustrated in FIG. 12, may be applied to input instructions to perform the functions described herein and generate output information. The output information may be applied to one or more output devices, in known fashion. For purposes of this application, a processing system includes any system that has a processor, such as, for example; a digital signal processor (DSP), a microcontroller, an application specific integrated circuit (ASIC), or a microprocessor.

The program code may be implemented in a high level procedural or object oriented programming language to communicate with a processing system. The program code may also be implemented in assembly or machine language, if desired. In fact, the mechanisms described herein are not limited in scope to any particular programming language. In any case, the language may be a compiled or interpreted language.

One or more aspects of at least one embodiment may be implemented by representative instructions stored on a machine-readable medium which represents various logic within the processor, which when read by a machine causes the machine to fabricate logic to perform the techniques described herein. Such representations, known as “IP cores” may be stored on a tangible, machine readable medium and supplied to various customers or manufacturing facilities to load into the fabrication machines that actually make the logic or processor.

Such machine-readable storage media may include, without limitation, non-transitory, tangible arrangements of articles manufactured or formed by a machine or device, including storage media such as hard disks, any other type of disk including floppy disks, optical disks, compact disk read-only memories (CD-ROMs), compact disk rewritable's (CD-RWs), and magneto-optical disks, semiconductor devices such as read-only memories (ROMs), random access memories (RAMs) such as dynamic random access memories (DRAMs), static random access memories (SRAMs), erasable programmable read-only memories (EPROMs), flash memories, electrically erasable programmable read-only memories (EEPROMs), phase change memory (PCM), magnetic or optical cards, or any other type of media suitable for storing electronic instructions.

Accordingly, embodiments of the invention also include non-transitory, tangible machine-readable media containing instructions or containing design data, such as Hardware Description Language (HDL), which defines structures, circuits, apparatuses, processors and/or system features described herein. Such embodiments may also be referred to as program products.

Emulation (Including Binary Translation, Code Morphing, Etc.)

In some cases, an instruction converter may be used to convert an instruction from a source instruction set to a target instruction set. For example, the instruction converter may translate (e.g., using static binary translation, dynamic binary translation including dynamic compilation), morph, emulate, or otherwise convert an instruction to one or more other instructions to be processed by the core. The instruction converter may be implemented in software, hardware, firmware, or a combination thereof. The instruction converter may be on processor, off processor, or part on and part off processor.

FIG. 15 is a block diagram contrasting the use of a software instruction converter to convert binary instructions in a source instruction set to binary instructions in a target instruction set according to embodiments of the invention. In the illustrated embodiment, the instruction converter is a software instruction converter, although alternatively the instruction converter may be implemented in software, firmware, hardware, or various combinations thereof. FIG. 15 shows a program in a high level language 1502 may be compiled using an x86 compiler 1504 to generate x86 binary code 1506 that may be natively executed by a processor with at least one x86 instruction set core 1516. The processor with at least one x86 instruction set core 1516 represents any processor that can perform substantially the same functions as an Intel processor with at least one x86 instruction set core by compatibly executing or otherwise processing (1) a substantial portion of the instruction set of the Intel x86 instruction set core or (2) object code versions of applications or other software targeted to run on an Intel processor with at least one x86 instruction set core, in order to achieve substantially the same result as an Intel processor with at least one x86 instruction set core. The x86 compiler 1504 represents a compiler that is operable to generate x86 binary code 1506 (e.g., object code) that can, with or without additional linkage processing, be executed on the processor with at least one x86 instruction set core 1516. Similarly, FIG. 15 shows the program in the high level language 1502 may be compiled using an alternative instruction set compiler 1508 to generate alternative instruction set binary code 1510 that may be natively executed by a processor without at least one x86 instruction set core 1514 (e.g., a processor with cores that execute the MIPS instruction set of MIPS Technologies of Sunnyvale, Calif. and/or that execute the ARM instruction set of ARM Holdings of Sunnyvale, Calif.). The instruction converter 1512 is used to convert the x86 binary code 1506 into code that may be natively executed by the processor without an x86 instruction set core 1514. This converted code is not likely to be the same as the alternative instruction set binary code 1510 because an instruction converter capable of this is difficult to make; however, the converted code will accomplish the general operation and be made up of instructions from the alternative instruction set. Thus, the instruction converter 1512 represents software, firmware, hardware, or a combination thereof that, through emulation, simulation or any other process, allows a processor or other electronic device that does not have an x86 instruction set processor or core to execute the x86 binary code 1506.

While FIGS. 8 and 9 illustrate various operations according to one or more embodiments, it is to be understood that not all of the operations depicted in FIGS. 8 and 9 are necessary for other embodiments. Indeed, it is fully contemplated herein that in other embodiments of the present disclosure, the operations depicted in FIGS. 8 and 9, and/or other operations described herein, may be combined in a manner not specifically shown in any of the drawings, but still fully consistent with the present disclosure. Thus, claims directed to features and/or operations that are not exactly shown in one drawing are deemed within the scope and content of the present disclosure.

As used in this application and in the claims, a list of items joined by the term “and/or” can mean any combination of the listed items. For example, the phrase “A, B and/or C” can mean A; B; C; A and B; A and C; B and C; or A, B and C. As used in this application and in the claims, a list of items joined by the term “at least one of” can mean any combination of the listed terms. For example, the phrases “at least one of A, B or C” can mean A; B; C; A and B; A and C; B and C; or A, B and C.

As used in any embodiment herein, the terms “system” or “module” may refer to, for example, software, firmware and/or circuitry configured to perform any of the aforementioned operations. Software may be embodied as a software package, code, instructions, instruction sets and/or data recorded on non-transitory computer readable storage mediums and/or devices. Firmware may be embodied as code, instructions or instruction sets and/or data that are hard-coded (e.g., nonvolatile) in memory devices.

As used in any embodiment herein, the term “circuitry” may comprise, for example, singly or in any combination, hardwired circuitry, programmable circuitry such as computer processors comprising one or more individual instruction processing cores, state machine circuitry, and/or firmware that stores instructions executed by programmable circuitry or future computing paradigms including, for example, massive parallelism, analog or quantum computing, hardware embodiments of accelerators such as neural net processors and non-silicon implementations of the above. The circuitry may, collectively or individually, be embodied as circuitry that forms part of a larger system, for example, an integrated circuit (IC), system on-chip (SoC), desktop computers, laptop computers, tablet computers, servers, smartphones, etc.

Any of the operations described herein may be implemented in a system that includes one or more mediums (e.g., non-transitory storage mediums) having stored therein, individually or in combination, instructions that when executed by one or more processors perform the methods. Here, the processor may include, for example, a server CPU, a mobile device CPU, and/or other programmable circuitry. Also, it is intended that operations described herein may be distributed across a plurality of physical devices, such as processing structures at more than one different physical location. The storage medium may include any type of tangible medium, for example, any type of disk including hard disks, floppy disks, optical disks, compact disk read-only memories (CD-ROMs), compact disk rewritables (CD-RWs), and magneto-optical disks, semiconductor devices such as read-only memories (ROMs), random access memories (RAMs) such as dynamic and static RAMs, erasable programmable read-only memories (EPROMs), electrically erasable programmable read-only memories (EEPROMs), flash memories, Solid State Disks (SSDs), embedded multimedia cards (eMMCs), secure digital input/output (SDIO) cards, magnetic or optical cards, or any type of media suitable for storing electronic instructions. Other embodiments may be implemented as software executed by a programmable control device.

Thus, the present disclosure is directed to systems and methods for performing one or more operations on a two dimensional tile register using an accelerator that includes a tiled matrix multiplication unit (TMU). The processor circuitry includes reservation station (RS) circuitry to communicatively couple the processor circuitry to the TMU. The RS circuitry coordinates the operations performed by the TMU. TMU dispatch queue (TDQ) circuitry in the TMU maintains the operations received from the RS circuitry in the order that the operations are received from the RS circuitry. Since the duration of each operation is not known prior to execution by the TMU, the RS circuitry maintains shadow dispatch queue (RS-TDQ) circuitry that mirrors the operations in the TDQ circuitry. Communication between the RS circuitry 134 and the TMU provides the RS circuitry with notification of successfully executed operations and allows the RS circuitry to cancel operations where the operations are associated with branch mispredictions and/or non-retired speculatively executed instructions.

The following examples pertain to further embodiments. The following examples of the present disclosure may comprise subject material such as at least one device, a method, at least one machine-readable medium for storing instructions that when executed cause a machine to perform acts based on the method, means for performing acts based on the method and/or a system for decomposing systolic array circuitry to perform one or more operations on a two dimensional tile register using an accelerator that includes a tiled matrix multiplication unit (TMU).

According to example 1, there is provided core circuitry. The core circuitry includes: processor circuitry; re-order buffer (ROB) circuitry coupled to the processor circuitry; and reservation station (RS) circuitry that includes matrix multiplication unit dispatch shadow queue (RS-TDQ) circuitry, the RS circuitry to: dispatch at least one first matrix operation to TDQ circuitry disposed in a matrix multiplication unit (TMU) communicatively coupled to the RS circuitry; dispatch the at least one first matrix operation to the RS-TDQ circuitry; receive a dispatch indication from the TMU upon execution of the at least one first matrix operation by the TMU; communicate, to the ROB circuitry, a signal that includes information indicative of a completion of the at least one first matrix operation by the TMU; cause the ROB circuitry to commit the at least one first matrix operation; and cause a transfer of data from the at least one first matrix operation from TMU buffer (TMB) circuitry to memory circuitry.

Example 2 may include elements of example 1 and the core circuitry may further include: cache memory circuity communicatively coupled to the processor circuitry; wherein to cause a transfer of data from the at least one first matrix operation from TMU buffer (TMB) circuitry to memory circuitry, the RS circuitry to further: cause the transfer of an output tile register that includes two dimensional array generated by the at least one first matrix operation from the TMB circuitry to the cache memory circuitry.

Example 3 may include elements of any of examples 1 or 2 where to cause a transfer of data from the at least one first matrix operation from TMU buffer (TMB) circuitry to memory circuitry, the RS circuitry to further: cause the transfer of an output tile register that includes a two dimensional array generated by the at least one first matrix operation from the TMB circuitry to system memory circuitry communicatively coupled to the core circuitry.

Example 4 may include elements of any of examples 1 through 3 where the RS circuitry may further: dispatch at least one second matrix operation to the TDQ circuitry, the second matrix operation dependent upon the data from the at least one first matrix operation; dispatch the at least one first matrix operation to the TDQ shadow queue circuitry; receive a dispatch indication from the TMU upon execution of the at least one second matrix operation by the TMU; communicate, to the ROB circuitry, a signal that includes information indicative of a completion of the at least one second matrix operation by the TMU; cause the ROB circuitry to commit the at least one second matrix operation; and cause a transfer of data from the at least one second matrix operation from the TMB circuitry to memory circuitry.

Example 5 may include elements of any of examples 1 through 4 where to dispatch at least one second matrix operation to the TDQ circuitry, the RS circuitry may further: dispatch at least one second matrix operation to the TDQ circuitry responsive to dispatch of the at least one first matrix operation to the TDQ circuitry.

Example 6 may include elements of any of examples 1 through 5 where to dispatch at least one second matrix operation to the TDQ circuitry, the RS circuitry may further: dispatch at least one second matrix operation to the TDQ circuitry responsive to receipt of an indication of the dispatch of the at least one first matrix operation to matrix multiplication (TMM) circuitry in the TMU.

Example 7 may include elements of any of examples 1 through 6 where to cause a transfer of data from the at least one second matrix operation from TMU buffer (TMB) circuitry to memory circuitry, the RS circuitry may further: cause the transfer a two dimensional array generated by the at least one second matrix operation from the TMB circuitry to memory circuitry that includes at least one of: processor cache circuitry or system memory circuitry.

Example 8 may include elements of any of examples 1 through 7 where the RS circuitry to further, responsive to receipt of an indication, from the processor circuitry, of at least one of: a mis-speculation associated with the at least one first matrix operation or a mis-prediction associated with the at least one first matrix operation: cause a cancellation of the at least one first matrix operation from the RS-TDQ circuitry; and cause a cancellation of the at least one first matrix operation from the TDQ circuitry.

According to example 9, there is provided a method of performing one or more matrix operations. The method may include: dispatching, by reservation station (RS) circuitry, at least one first matrix operation to TDQ circuitry disposed in a matrix multiplication unit (TMU) communicatively coupled to the RS circuitry; dispatching, by the RS circuitry, the at least one first matrix operation to the RS-TDQ circuitry; communicating, by the RS circuitry, to reorder buffer (ROB) circuitry, a signal that includes information indicative of a completion of the at least one first matrix operation by the TMU; causing, by the RS circuitry, the ROB circuitry to commit the at least one first matrix operation; and causing, by the RS circuitry, a transfer of data from the at least one first matrix operation from TMU buffer (TMB) circuitry to memory circuitry.

Example 10 may include elements of example 9 where causing the transfer of data from the at least one first matrix operation from the TMB circuitry to the memory circuitry may further include: causing, by the RS circuitry, the transfer of an output tile register that includes two dimensional array generated by the at least one first matrix operation from the TMB circuitry to processor cache memory circuitry communicatively coupled to core circuitry.

Example 11 may include elements of any of examples 9 or 10 where causing the transfer of data from the at least one first matrix operation from the TMB circuitry to the memory circuitry may further include: causing, by the RS circuitry, the transfer of an output tile register that includes a two dimensional array generated by the at least one first matrix operation from the TMB circuitry to system memory circuitry communicatively coupled to core circuitry.

Example 12 may include elements of any of examples 9 through 11, and the method may additionally include: dispatching, by the RS circuitry, at least one second matrix operation to the TDQ circuitry, the second matrix operation using at least a portion of the data from the at least one first matrix operation; dispatching, by the RS circuitry, the at least one second matrix operation to the RS-TDQ circuitry; communicating, by the RS circuitry, to reorder buffer (ROB) circuitry, a signal that includes information indicative of a completion of the at least one second matrix operation by the TMU; causing, by the RS circuitry, the ROB circuitry to commit the at least one second matrix operation; and causing, by the RS circuitry, a transfer of data from the at least one second matrix operation from the TMU buffer (TMB) circuitry to the memory circuitry.

Example 13 may include elements of any of examples 9 through 12 where dispatching at least one second matrix operation to the TDQ circuitry may further include: dispatching, by the RS circuitry, the at least one second matrix operation to the TDQ circuitry responsive to dispatching the at least one first matrix operation to the TDQ circuitry.

Example 14 may include elements of any of examples 9 through 13 where dispatching at least one second matrix operation to the TDQ circuitry may further include: dispatching, by the RS circuitry, the at least one second matrix operation to the TDQ circuitry responsive to receiving an indication of the dispatch of the at least one first matrix operation to matrix multiplication (TMM) circuitry in the TMU.

Example 15 may include elements of any of examples 9 through 14 where causing a transfer of data from the at least one second matrix operation from the TMU buffer (TMB) circuitry to the memory circuitry may further include: causing, by the RS circuitry, the transfer a two dimensional array generated by the at least one second matrix operation from the TMB circuitry to memory circuitry that includes at least one of: processor cache circuitry or system memory circuitry.

Example 16 may include elements of any of examples 9 through 15 and the method may additionally include: responsive to receipt of an indication, from the processor circuitry, of at least one of: a mis-speculation associated with the at least one first matrix operation or a mis-prediction associated with the at least one first matrix operation: causing, by the RS circuitry, a cancellation of the at least one first matrix operation from the RS-TDQ circuitry; and causing, by the RS circuitry, a cancellation of the at least one first matrix operation from the TDQ circuitry.

According to example 17, there is provided a system for performing one or more matrix operations. The system may include: means for dispatching at least one first matrix operation to TDQ circuitry disposed in a matrix multiplication unit (TMU); means for dispatching the at least one first matrix operation to RS-TDQ circuitry; means for communicating to reorder buffer (ROB) circuitry, a signal that includes information indicative of a completion of the at least one first matrix operation by the TMU; means for causing the ROB circuitry to commit the at least one first matrix operation; and means for causing a transfer of data from the at least one first matrix operation from TMU buffer (TMB) circuitry to memory circuitry.

Example 18 may include elements of example 17 where the means for causing the transfer of data from the at least one first matrix operation from the TMB circuitry to the memory circuitry may further include: means for causing the transfer of an output tile register that includes two dimensional array generated by the at least one first matrix operation from the TMB circuitry to processor cache memory circuitry communicatively coupled to core circuitry.

Example 19 may include elements of any of examples 17 or 18 where the means for causing the transfer of data from the at least one first matrix operation from the TMB circuitry to the memory circuitry may further include: means for causing the transfer of an output tile register that includes a two dimensional array generated by the at least one first matrix operation from the TMB circuitry to system memory circuitry communicatively coupled to core circuitry.

Example 20 may include elements of any of examples 17 through 19, and the system may further include: means for dispatching at least one second matrix operation to the TDQ circuitry, the second matrix operation using at least a portion of the data from the at least one first matrix operation; means for dispatching the at least one second matrix operation to the RS-TDQ circuitry; means for communicating to reorder buffer (ROB) circuitry, a signal that includes information indicative of a completion of the at least one second matrix operation by the TMU; means for causing the ROB circuitry to commit the at least one second matrix operation; and means for causing a transfer of data from the at least one second matrix operation from the TMU buffer (TMB) circuitry to the memory circuitry.

Example 21 may include elements of any of examples 17 through 20 where the means for dispatching at least one second matrix operation to the TDQ circuitry may further include: means for dispatching the at least one second matrix operation to the TDQ circuitry responsive to dispatching the at least one first matrix operation to the TDQ circuitry.

Example 22 may include elements of any of examples 17 through 21 where the means for dispatching at least one second matrix operation to the TDQ circuitry may further include: means for dispatching the at least one second matrix operation to the TDQ circuitry responsive to receiving an indication of the dispatch of the at least one first matrix operation to matrix multiplication (TMM) circuitry in the TMU.

Example 23 may include elements of any of examples 17 through 22 where the means for causing a transfer of data from the at least one second matrix operation from the TMU buffer (TMB) circuitry to the memory circuitry may further include: means for causing the transfer a two dimensional array generated by the at least one second matrix operation from the TMB circuitry to memory circuitry that includes at least one of: processor cache circuitry or system memory circuitry.

Example 24 may include elements of any of examples 17 through 23 and the system may additionally include: responsive to receipt of an indication, from the processor circuitry, of at least one of: a mis-speculation associated with the at least one first matrix operation or a mis-prediction associated with the at least one first matrix operation: means for causing a cancellation of the at least one first matrix operation from the RS-TDQ circuitry; and means for causing a cancellation of the at least one first matrix operation from the TDQ circuitry.

According to example 25, there is provided a non-transitory storage device. The non-transitory storage device includes instructions that, when executed by reservation station (RS) circuitry, cause the RS circuitry to: dispatch at least one first matrix operation to TDQ circuitry disposed in a matrix multiplication unit (TMU) communicatively coupled to the RS circuitry; dispatch the at least one first matrix operation to the RS-TDQ circuitry; communicate to reorder buffer (ROB) circuitry, a signal that includes information indicative of a completion of the at least one first matrix operation by the TMU; cause the ROB circuitry to commit the at least one first matrix operation; and cause a transfer of data from the at least one first matrix operation from TMU buffer (TMB) circuitry to memory circuitry.

Example 26 may include elements of example 25 where the instructions that cause the RS circuitry to cause the transfer of data from the at least one first matrix operation from the TMB circuitry to the memory circuitry further cause the RS circuitry to: cause the transfer of an output tile register that includes two dimensional array generated by the at least one first matrix operation from the TMB circuitry to processor cache memory circuitry communicatively coupled to core circuitry.

Example 27 may include elements of any of examples 25 or 26 where the instructions that cause the RS circuitry to cause the transfer of data from the at least one first matrix operation from the TMB circuitry to the memory circuitry further cause the RS circuitry to: cause the transfer of an output tile register that includes a two dimensional array generated by the at least one first matrix operation from the TMB circuitry to system memory circuitry communicatively coupled to core circuitry.

Example 28 may include elements of any of examples 25 through 27 where the instructions, when executed by the RS circuitry, further cause the RS circuitry to: dispatch at least one second matrix operation to the TDQ circuitry, the second matrix operation using at least a portion of the data from the at least one first matrix operation; dispatch the at least one second matrix operation to the RS-TDQ circuitry; communicate to reorder buffer (ROB) circuitry, a signal that includes information indicative of a completion of the at least one second matrix operation by the TMU; cause the ROB circuitry to commit the at least one second matrix operation; and cause a transfer of data from the at least one second matrix operation from the TMU buffer (TMB) circuitry to the memory circuitry.

Example 29 may include elements of any of examples 25 through 28 where the instructions that cause the RS circuitry to dispatch at least one second matrix operation to the TDQ circuitry further causes the RS circuitry to: dispatch the at least one second matrix operation to the TDQ circuitry responsive to dispatching the at least one first matrix operation to the TDQ circuitry.

Example 30 may include elements of any of examples 25 through 29 where the instructions that cause the RS circuitry to dispatch at least one second matrix operation to the TDQ circuitry further causes the RS circuitry to: dispatch the at least one second matrix operation to the TDQ circuitry responsive to receiving an indication of the dispatch of the at least one first matrix operation to matrix multiplication (TMM) circuitry in the TMU.

Example 31 may include elements of any of examples 25 through 30 where the instructions that cause the RS circuitry to cause a transfer of data from the at least one second matrix operation from the TMU buffer (TMB) circuitry to the memory circuitry further causes the RS circuitry to: cause the transfer a two dimensional array generated by the at least one second matrix operation from the TMB circuitry to memory circuitry that includes at least one of: processor cache circuitry or system memory circuitry.

Example 32 may include elements of any of examples 25 through 31 where the instructions, when executed by the RS circuitry, further cause the RS circuitry to, responsive to receipt of an indication, from the processor circuitry, of at least one of: a mis-speculation associated with the at least one first matrix operation or a mis-prediction associated with the at least one first matrix operation: cause a cancellation of the at least one first matrix operation from the RS-TDQ circuitry; and cause a cancellation of the at least one first matrix operation from the TDQ circuitry.

According to example 33, there is provided a matrix multiplication unit (TMU). The TMU may include: TMU data storage buffer (TMB) circuitry; TMU operation queue (TMQ) circuitry; TMU matrix multiplication (TMM) circuitry; TMU control (TMC) circuitry coupled to the TMB circuitry, the TMQ circuitry, and the TMM circuitry, the TMC circuitry to: cause the TMB circuitry to store at least one tile register in the TMB circuitry, the at least one tile register received from reservation station (RS) circuitry communicatively coupled to a core circuit, wherein each of the at least one tile registers includes a respective two-dimensional data array; cause the TMQ circuitry to store at least one first matrix multiplication operation using the at least one tile register; cause the TMM circuitry to execute the at least one first matrix multiplication operation on the one or more tile registers to generate at least one first output tile register; cause the TMB circuitry to store the at least one first output tile register; and cause a transfer of the at least one first output tile register to memory circuitry external to the TMU responsive to a receipt of a request by the RS circuitry.

Example 34 may include elements of example 33, the TMQ circuitry may further: cancel the at least one first matrix multiplication operation responsive to receipt of a cancellation request from the RS circuitry.

Example 35 may include elements of any of examples 33 or 34 where to cause a transfer of the at least one output tile register to memory circuitry external to the TMU responsive to a receipt of a request by the RS circuitry, the TMC circuitry may further: cause the TMB circuitry to transfer of the at least one output tile register to cache memory circuitry, the cache memory circuitry communicatively coupled to the processor circuitry.

Example 36 may include elements of any of examples 33 through 35 where to cause a transfer of the at least one output tile register to memory circuitry external to the TMU responsive to a receipt of a request by the RS circuitry, the TMC circuitry may further: cause the TMB circuitry to transfer of the at least one output tile register to system memory circuitry, the system memory circuitry communicatively coupled to the processor circuitry.

Example 37 may include elements of any of examples 33 through 36 where the TMC circuitry may further: cause the TMQ circuitry to store at least one second matrix multiplication operation, the second matrix operation using as an input, the first output tile register; cause the TMM circuitry to execute the at least one second matrix multiplication operation on the first output tile register to generate the at least one second output tile register; cause the TMB circuitry to store the at least one second output tile register; and cause a transfer of the at least one second output tile register to memory circuitry external to the TMU responsive to a receipt of a request by the RS circuitry.

Example 38 may include elements of any of examples 33 through 37 where to cause the TMQ circuitry to store at least one second matrix multiplication operation, the TMC circuitry may further: cause the TMQ circuitry to store the at least one second matrix operation responsive to causing the TMM circuitry to execute the at least one first matrix multiplication operation on the one or more tile registers.

According to example 39, there is provided a non-transitory storage device that includes instructions that, when executed by TMU control (TMC) circuitry, cause the TMC circuitry to: cause the TMB circuitry to store at least one tile register in the TMB circuitry, the at least one tile register received from reservation station (RS) circuitry communicatively coupled to a core circuit, wherein each of the at least one tile registers includes a respective two-dimensional data array; cause the TMQ circuitry to store at least one first matrix multiplication operation using the at least one tile register; cause the TMM circuitry to execute the at least one first matrix multiplication operation on the one or more tile registers to generate at least one first output tile register; cause the TMB circuitry to store the at least one first output tile register; and cause a transfer of the at least one first output tile register to memory circuitry external to the TMU responsive to a receipt of a request by the RS circuitry.

Example 40 may include elements of example 39 where the instructions further cause the TMC circuitry to: cause the TMQ circuitry to cancel the at least one first matrix multiplication operation responsive to receipt of a cancellation request from the RS circuitry.

Example 41 may include elements of any of examples 39 or 40 where the instructions that cause the TMC circuitry to cause a transfer of the at least one output tile register to memory circuitry external to the TMU responsive to a receipt of a request by the RS circuitry, further cause the TMC circuitry to: cause the TMB circuitry to transfer of the at least one output tile register to cache memory circuitry, the cache memory circuitry communicatively coupled to the processor circuitry.

Example 42 may include elements of any of examples 39 through 41 where the instructions that cause the TMC circuitry to cause a transfer of the at least one output tile register to memory circuitry external to the TMU responsive to a receipt of a request by the RS circuitry, further cause the TMC circuitry to: cause the TMB circuitry to transfer of the at least one output tile register to system memory circuitry, the system memory circuitry communicatively coupled to the processor circuitry.

Example 43 may include elements of any of examples 39 through 42 where the instructions further cause the TMC circuitry to: cause the TMQ circuitry to store at least one second matrix multiplication operation, the second matrix operation using as an input, the first output tile register; cause the TMM circuitry to execute the at least one second matrix multiplication operation on the first output tile register to generate the at least one second output tile register; cause the TMB circuitry to store the at least one second output tile register; and cause a transfer of the at least one second output tile register to memory circuitry external to the TMU responsive to a receipt of a request by the RS circuitry.

Example 44 may include elements of any of examples 39 through 43 where the instructions that cause the TMC circuitry to cause the TMQ circuitry to store at least one second matrix multiplication operation, further cause the TMC circuitry to: cause the TMQ circuitry to store the at least one second matrix operation responsive to causing the TMM circuitry to execute the at least one first matrix multiplication operation on the one or more tile registers.

According to example 45, there is provided a tiled register matrix multiplication system, the system being arranged to perform the method of any of examples 9 through 16.

According to example 46, there is provided a chipset arranged to perform the method of any of examples 9 through 16.

According to example 47, there is provided least one machine-readable storage device that includes a plurality of instructions that, in response to be being executed on a computing device, cause the computing device to carry out the method according to any of examples 9 through 16.

According to example 48, there is provided a device that includes a tiled register matrix multiplication system, the device being arranged to perform the method of any of the examples 9 through 16.

The terms and expressions which have been employed herein are used as terms of description and not of limitation, and there is no intention, in the use of such terms and expressions, of excluding any equivalents of the features shown and described (or portions thereof), and it is recognized that various modifications are possible within the scope of the claims. Accordingly, the claims are intended to cover all such equivalents. Various features, aspects, and embodiments have been described herein. The features, aspects, and embodiments are susceptible to combination with one another as well as to variation and modification, as will be understood by those having skill in the art. The present disclosure should, therefore, be considered to encompass such combinations, variations, and modifications.

As described herein, various embodiments may be implemented using hardware elements, software elements, or any combination thereof. Examples of hardware elements may include processors, microprocessors, circuits, circuit elements (e.g., transistors, resistors, capacitors, inductors, and so forth), integrated circuits, application specific integrated circuits (ASIC), programmable logic devices (PLD), digital signal processors (DSP), field programmable gate array (FPGA), logic gates, registers, semiconductor device, chips, microchips, chip sets, and so forth.

Reference throughout this specification to “one embodiment” or “an embodiment” means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment. Thus, appearances of the phrases “in one embodiment” or “in an embodiment” in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. 

What is claimed:
 1. Core circuitry comprising: processor circuitry; re-order buffer (ROB) circuitry coupled to the processor circuitry; and reservation station (RS) circuitry that includes matrix multiplication unit dispatch shadow queue (RS-TDQ) circuitry, the RS circuitry to: dispatch at least one first matrix operation to matrix multiplication unit dispatch queue (TDQ) circuitry disposed in a matrix multiplication unit (TMU) coupled to the RS circuitry; dispatch the at least one first matrix operation to the RS-TDQ circuitry; receive a dispatch indication from the TMU upon execution of the at least one first matrix operation by the TMU; communicate, to the ROB circuitry, a signal that includes information indicative of a completion of the at least one first matrix operation; cause the ROB circuitry to commit the at least one first matrix operation; and cause a transfer of data from the at least one first matrix operation from TMU buffer (TMB) circuitry to memory circuitry.
 2. The core circuitry of claim 1, further comprising: cache memory circuity coupled to the processor circuitry; wherein to cause the transfer of the data from the at least one first matrix operation from the TMB circuitry to the memory circuitry, the RS circuitry to further: cause the transfer of an output tile register that includes a two dimensional array generated by the at least one first matrix operation from the TMB circuitry to the cache memory circuitry.
 3. The core circuitry of claim 1 wherein to cause the transfer of the data from the at least one first matrix operation from the TMB circuitry to the memory circuitry, the RS circuitry to further: cause the transfer of an output tile register that includes a two dimensional array generated by the at least one first matrix operation from the TMB circuitry to system memory circuitry coupled to the core circuitry.
 4. The core circuitry of claim 1, the RS circuitry to further: dispatch at least one second matrix operation to the TDQ circuitry, the at least one second matrix operation dependent upon the data from the at least one first matrix operation; receive a dispatch indication from the TMU upon execution of the at least one second matrix operation by the TMU; communicate, to the ROB circuitry, a signal that includes information indicative of a completion of the at least one second matrix operation by the TMU; cause the ROB circuitry to commit the at least one second matrix operation; and cause a transfer of data from the at least one second matrix operation from the TMB circuitry to the memory circuitry.
 5. The core circuitry of claim 4 wherein to dispatch the at least one second matrix operation to the TDQ circuitry, the RS circuitry to further: dispatch the at least one second matrix operation to the TDQ circuitry responsive to dispatch of the at least one first matrix operation to the TDQ circuitry.
 6. The core circuitry of claim 4 wherein to dispatch the at least one second matrix operation to the TDQ circuitry, the RS circuitry to further: dispatch the at least one second matrix operation to the TDQ circuitry responsive to receipt of an indication of the dispatch of the at least one first matrix operation to matrix multiplication (TMM) circuitry in the TMU.
 7. The core circuitry of claim 4 wherein to cause the transfer of the data from the at least one second matrix operation from TMB circuitry to the memory circuitry, the RS circuitry to further: cause the transfer of a two dimensional array generated by the at least one second matrix operation from the TMB circuitry to the memory circuitry that includes at least one of: processor cache circuitry or system memory circuitry.
 8. The core circuitry of claim 1, the RS circuitry to further, responsive to receipt of an indication, from the processor circuitry, of at least one of: a mis-speculation associated with the at least one first matrix operation or a mis-prediction associated with the at least one first matrix operation: cause a cancellation of the at least one first matrix operation from the RS-TDQ circuitry; and cause a cancellation of the at least one first matrix operation from the TDQ circuitry.
 9. A non-transitory storage device that includes instructions that, when executed by reservation station (RS) circuitry, cause the RS circuitry to: perform one or more matrix operations, the method comprising: concurrently dispatch at least one first matrix operation to matrix multiplication unit dispatch queue (TDQ) circuitry disposed in a matrix multiplication unit (TMU) coupled to the RS circuitry and to matrix multiplication unit dispatch shadow queue (RS-TDQ) circuitry included in the RS circuitry; communicate to reorder buffer (ROB) circuitry, a signal that includes information indicative of a completion of the at least one first matrix operation by the TMU; cause the ROB circuitry to commit the at least one first matrix operation; and cause a transfer of data from the at least one first matrix operation from TMU buffer (TMB) circuitry to memory circuitry.
 10. The non-transitory storage device of claim 9 wherein the instructions that cause the RS circuitry to cause the transfer of the data from the at least one first matrix operation from the TMB circuitry to the memory circuitry further cause the RS circuitry to: cause the transfer of an output tile register that includes a two dimensional array generated by the at least one first matrix operation from the TMB circuitry to processor cache memory circuitry coupled to core circuitry.
 11. The non-transitory storage device of claim 9 wherein the instructions that cause the RS circuitry to cause the transfer of the data from the at least one first matrix operation from the TMB circuitry to the memory circuitry further cause the RS circuitry to: cause the transfer of an output tile register that includes a two dimensional array generated by the at least one first matrix operation from the TMB circuitry to system memory circuitry coupled to core circuitry.
 12. The non-transitory storage device of claim 9 wherein the instructions, when executed by the RS circuitry, further cause the RS circuitry to: dispatch at least one second matrix operation to the TDQ circuitry, the second matrix operation using at least a portion of the data from the at least one first matrix operation; dispatch the at least one second matrix operation to the RS-TDQ circuitry; communicate to the ROB circuitry, a signal that includes information indicative of a completion of the at least one second matrix operation by the TMU; cause the ROB circuitry to commit the at least one second matrix operation; and cause a transfer of data from the at least one second matrix operation from the TMB circuitry to the memory circuitry.
 13. The non-transitory storage device of claim 12 wherein the instructions that cause the RS circuitry to dispatch the at least one second matrix operation to the TDQ circuitry further causes the RS circuitry to: dispatch the at least one second matrix operation to the TDQ circuitry responsive to dispatching the at least one first matrix operation to the TDQ circuitry.
 14. The non-transitory storage device of claim 12 wherein the instructions that cause the RS circuitry to dispatch the at least one second matrix operation to the TDQ circuitry further causes the RS circuitry to: dispatch the at least one second matrix operation to the TDQ circuitry responsive to receiving an indication of the dispatch of the at least one first matrix operation to matrix multiplication (TMM) circuitry in the TMU.
 15. The non-transitory storage device of claim 12 wherein the instructions that cause the RS circuitry to cause the transfer of the data from the at least one second matrix operation from the TMB circuitry to the memory circuitry further causes the RS circuitry to: cause the transfer of a two dimensional array generated by the at least one second matrix operation from the TMB circuitry to the memory circuitry that includes at least one of: processor cache circuitry or system memory circuitry.
 16. The non-transitory storage device of claim 9 wherein the instructions, when executed by the RS circuitry, further cause the RS circuitry to: responsive to receipt of an indication, from a processor circuitry, of at least one of: a mis-speculation associated with the at least one first matrix operation or a mis-prediction associated with the at least one first matrix operation: cause a cancellation of the at least one first matrix operation from the RS-TDQ circuitry; and cause a cancellation of the at least one first matrix operation from the TDQ circuitry.
 17. A matrix multiplication unit (TMU), comprising: TMU data storage buffer (TMB) circuitry; TMU operation queue (TMQ) circuitry; TMU matrix multiplication (TMM) circuitry; and TMU control (TMC) circuitry coupled to the TMB circuitry, the TMQ circuitry, and the TMM circuitry, the TMC circuitry to: cause the TMB circuitry to store at least one tile register in the TMB circuitry, the at least one tile register received from reservation station (RS) circuitry, wherein each of the at least one tile register includes a respective two-dimensional data array; cause the TMQ circuitry to store at least one first matrix multiplication operation using the at least one tile register; cause the TMM circuitry to execute the at least one first matrix multiplication operation on the at least one tile register to generate at least one first output tile register; cause the TMB circuitry to store the at least one first output tile register; and cause a transfer of the at least one first output tile register to memory circuitry external to the TMU responsive to a receipt of a request by the RS circuitry.
 18. The TMU of claim 17, the TMQ circuitry to further: cancel the at least one first matrix multiplication operation responsive to receipt of a cancellation request from the RS circuitry.
 19. The TMU of claim 17 wherein to cause the transfer of the at least one first output tile register to the memory circuitry external to the TMU responsive to the receipt of the request by the RS circuitry, the TMC circuitry to further: cause the TMB circuitry to transfer the at least one output tile register to cache memory circuitry.
 20. The TMU of claim 17 wherein to cause the transfer of the at least one output tile register to the memory circuitry external to the TMU responsive to the receipt of the request by the RS circuitry, the TMC circuitry to further: cause the TMB circuitry to transfer the at least one output tile register to system memory circuitry.
 21. The TMU of claim 17, the TMC circuitry to further: cause the TMQ circuitry to store at least one second matrix multiplication operation, the second matrix multiplication operation using as an input, the at least one first output tile register; cause the TMM circuitry to execute the at least one second matrix multiplication operation on the at least one first output tile register to generate at least one second output tile register; cause the TMB circuitry to store the at least one second output tile register; and cause a transfer of the at least one second output tile register to the memory circuitry external to the TMU responsive to a receipt of a request by the RS circuitry.
 22. The TMU of claim 21 wherein to cause the TMQ circuitry to store the at least one second matrix multiplication operation, the TMC circuitry to further: cause the TMQ circuitry to store the at least one second matrix multiplication operation responsive to causing the TMM circuitry to execute the at least one first matrix multiplication operation on the at least one tile register.
 23. A non-transitory storage device that includes instructions that, when executed by matrix multiplication unit (TMU) control (TMC) circuitry, cause the TMC circuitry to: cause TMU data storage buffer (TMB) circuitry to store at least one tile register in the TMB circuitry, the at least one tile register received from reservation station (RS) circuitry, wherein each of the at least one tile register includes a respective two-dimensional data array; cause TMU operation queue (TMQ) circuitry to store at least one first matrix multiplication operation using the at least one tile register; cause TMU matrix multiplication (TMM) circuitry to execute the at least one first matrix multiplication operation on the at least one tile register to generate at least one first output tile register; cause the TMB circuitry to store the at least one first output tile register; and cause a transfer of the at least one first output tile register to memory circuitry external to the TMU responsive to a receipt of a request by the RS circuitry.
 24. The non-transitory storage device of claim 23 wherein the instructions further cause the TMC circuitry to: cause the TMQ circuitry to cancel the at least one first matrix multiplication operation responsive to receipt of a cancellation request from the RS circuitry.
 25. The non-transitory storage device of claim 23 wherein the instructions that cause the TMC circuitry to cause a transfer of the at least one first output tile register to the memory circuitry external to the TMU responsive to the receipt of the request by the RS circuitry, further cause the TMC circuitry to: cause the TMB circuitry to transfer the at least one first output tile register to cache memory circuitry.
 26. The non-transitory storage device of claim 23 wherein the instructions that cause the TMC circuitry to cause the transfer of the at least one first output tile register to the memory circuitry external to the TMU responsive to the receipt of the request by the RS circuitry, further cause the TMC circuitry to: cause the TMB circuitry to transfer the at least one first output tile register to system memory circuitry.
 27. The non-transitory storage device of claim 23 wherein the instructions further cause the TMC circuitry to: cause the TMQ circuitry to store at least one second matrix multiplication operation, the second matrix multiplication operation using as an input, the at least one first output tile register; cause the TMM circuitry to execute the at least one second matrix multiplication operation on the at least one first output tile register to generate at least one second output tile register; cause the TMB circuitry to store the at least one second output tile register; and cause a transfer of the at least one second output tile register to the memory circuitry external to the TMU responsive to a receipt of a request by the RS circuitry.
 28. The non-transitory storage device of claim 27 wherein the instructions that cause the TMC circuitry to cause the TMQ circuitry to store the at least one second matrix multiplication operation, further cause the TMC circuitry to: cause the TMQ circuitry to store the at least one second matrix multiplication operation responsive to causing the TMM circuitry to execute the at least one first matrix multiplication operation on the at least one tile register. 